1. Anomalias¶
1.1 Cargar archivos¶
# Carga de datos
import pickle
import pandas as pd
# Cargar el archivo raw_data.pkl
with open(r"C:\Users\kevin.vargas\Desktop\material_formativo\5-LearningByDoing\1 - Anomalias\raw_data.pkl", "rb") as file:
raw_data = pickle.load(file)
# Verificar el número de registros y una muestra
print(f"Número de créditos cargados: {len(raw_data)}")
first_key = list(raw_data.keys())[0]
print("Ejemplo de entrada:\n")
print(raw_data[first_key])
# vemos que efectivamente se trata de un diccionario
Número de créditos cargados: 26727
Ejemplo de entrada:
{'country': {'continent': 'EU', 'official_name': 'Spain', 'capital': 'Madrid', 'name': 'Spain', 'alpha2': 'ES', 'alpha3': 'ESP', 'numeric': '724', 'currency': {'symbol': '€', 'code': 'EUR', 'name': 'Euro', 'numeric': '978'}, 'locale': 'es-ES', 'phone_prefix': '34'}, 'total_amount': 148.27, 'created': '2018-12-08T09:35:07.751401Z', 'merchant': {'activity': {'code': '10', 'name': 'Informatica y Electrónica'}, 'id': '776b630e228e499c83b66f8f0ddaab18'}, 'checkout': {'origin': 'online', 'user_agent': {'device_model': '', 'os_family': 'windows', 'is_mobile': False, 'is_tablet': False, 'device_brand': '', 'is_pc': True, 'os_version': '10', 'device_family': 'other', 'browser_family': 'Chrome', 'browser_version': '70.0.3538', 'value': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.110 Safari/537.36', 'is_touch_capable': False}, 'customer': {'birthday': '1954-02-03', 'address': {'region': 'Catalunya'}, 'document_id': {'type': 'nif'}}}, 'financing_plan': {'principal': 118.616, 'duration': 121, 'downpayment_amount': 29.65, 'total_interest_amount': 0.0, 'annual_percentage_rate': 0.0, 'customer_fee_tax_rate': 21.0, 'total_tax_amount': 0.0, 'daily_interest_per_cent': 0.060055157377, 'instalment_amount': 29.654, 'first_payment_date': '2019-01-08', 'num_instalments': 4}, 'target': 'performing'}
# Convertir el diccionario en un DataFrame
df = pd.DataFrame.from_dict(raw_data, orient='index').reset_index().rename(columns={'index': 'credit_id'})
# Mostrar estructura inicial
df.head(2)
| credit_id | country | total_amount | created | merchant | checkout | financing_plan | target | |
|---|---|---|---|---|---|---|---|---|
| 0 | 9a2d10fd9e8941de98cc7de1441fdcda | {'continent': 'EU', 'official_name': 'Spain', ... | 148.27 | 2018-12-08T09:35:07.751401Z | {'activity': {'code': '10', 'name': 'Informati... | {'origin': 'online', 'user_agent': {'device_mo... | {'principal': 118.616, 'duration': 121, 'downp... | performing |
| 1 | d4183f2f7bde479fa22b00fc13f478d0 | {'continent': 'EU', 'official_name': 'Spain', ... | 26.77 | 2018-12-08T09:58:42.707651Z | {'activity': {'code': '16', 'name': 'Mascotas'... | {'origin': 'online', 'user_agent': {'device_mo... | {'principal': 19.8912891098249, 'duration': 90... | performing |
1.2 Desanidar columnas anidadas¶
Las columnas country, merchant, checkout, y financing_plan contienen diccionarios anidados. Para poder usarlas en el modelo, necesito convertirlas en columnas normales. Para ello usaré json_normalize. Una vez no estén anidadas, concateneré todo con el resto de columnas.
from pandas import json_normalize
# Por si acaso hago con una copia del DataFrame original
df_flat = df[['credit_id', 'country', 'merchant', 'checkout', 'financing_plan',
'total_amount', 'created', 'target']].copy()
# Flatten de cada columna anidada con json
df_country = json_normalize(df_flat['country'], sep='_').add_prefix('country_')
df_merchant = json_normalize(df_flat['merchant'], sep='_').add_prefix('merchant_')
df_checkout = json_normalize(df_flat['checkout'], sep='_').add_prefix('checkout_')
df_financing = json_normalize(df_flat['financing_plan'], sep='_').add_prefix('financing_')
# Concatenar todo junto con el resto de columnas no anidadas
df_final = pd.concat([
df_flat[['credit_id', 'total_amount', 'created', 'target']],
df_country,
df_merchant,
df_checkout,
df_financing
], axis=1)
# Mostrar dimensiones y algunas columnas
print("DataFrame listo:", df_final.shape)
df_final.head(10)
DataFrame listo: (26727, 50)
| credit_id | total_amount | created | target | country_continent | country_official_name | country_capital | country_name | country_alpha2 | country_alpha3 | ... | financing_duration | financing_downpayment_amount | financing_total_interest_amount | financing_annual_percentage_rate | financing_customer_fee_tax_rate | financing_total_tax_amount | financing_daily_interest_per_cent | financing_instalment_amount | financing_first_payment_date | financing_num_instalments | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 9a2d10fd9e8941de98cc7de1441fdcda | 148.27 | 2018-12-08T09:35:07.751401Z | performing | EU | Spain | Madrid | Spain | ES | ESP | ... | 121 | 29.65 | 0.000000 | 0.000000 | 21.0 | 0.0 | 0.060055 | 29.654000 | 2019-01-08 | 4 |
| 1 | d4183f2f7bde479fa22b00fc13f478d0 | 26.77 | 2018-12-08T09:58:42.707651Z | performing | EU | Spain | Madrid | Spain | ES | ESP | ... | 90 | 6.88 | 0.744844 | 24.500000 | 21.0 | 0.0 | 0.060055 | 6.878711 | 2019-01-08 | 3 |
| 2 | 339c4435b0e0461eb7d8149d702bf88a | 155.99 | 2018-12-08T09:38:55.413728Z | performing | EU | Spain | Madrid | Spain | ES | ESP | ... | 182 | 22.28 | 0.000000 | 0.000000 | 21.0 | 0.0 | 0.060055 | 22.284286 | 2019-01-08 | 6 |
| 3 | 68a840a4725144118aca09513a5db11b | 189.00 | 2018-12-08T11:56:24.190451Z | performing | EU | Spain | Madrid | Spain | ES | ESP | ... | 274 | 18.90 | 0.000000 | 0.000000 | 0.0 | 0.0 | 0.060055 | 18.900000 | 2019-01-08 | 9 |
| 4 | 5ed94ecd629e4d65a76e6d32aedf8fa5 | 482.79 | 2018-12-08T09:09:19.901214Z | performing | EU | Spain | Madrid | Spain | ES | ESP | ... | 361 | 40.55 | 44.401573 | 20.000000 | 0.0 | 0.0 | 0.049964 | 40.553198 | 2019-01-04 | 12 |
| 5 | 8fccd4ec939848a1a9cd88890c01fb12 | 269.00 | 2018-12-08T09:13:44.291689Z | performing | EU | Spain | Madrid | Spain | ES | ESP | ... | 365 | 23.04 | 30.545446 | 24.500000 | 0.0 | 0.0 | 0.060055 | 23.041957 | 2019-01-08 | 12 |
| 6 | 63ea83fb7d414dac83cd7814f4c178ab | 117.90 | 2018-12-08T01:07:02.747884Z | performing | EU | Spain | Madrid | Spain | ES | ESP | ... | 127 | 24.35 | 3.847208 | 19.559581 | 0.0 | 0.0 | 0.060055 | 24.349442 | 2019-01-14 | 4 |
| 7 | a70858b86fd64e6f8db0e82ea2d3d4f2 | 104.90 | 2018-12-08T08:19:13.503292Z | performing | EU | Spain | Madrid | Spain | ES | ESP | ... | 365 | 8.99 | 11.911588 | 24.500000 | 21.0 | 0.0 | 0.060055 | 8.985507 | 2019-01-08 | 12 |
| 8 | db3c872b26434c1c965b74dd2aa65d22 | 203.92 | 2018-12-08T00:23:24.348616Z | performing | EU | Spain | Madrid | Spain | ES | ESP | ... | 367 | 15.69 | 0.000000 | 0.000000 | 21.0 | 0.0 | 0.060055 | 15.686154 | 2019-01-10 | 12 |
| 9 | 261acd6b1733442bb554bd6264a9b0dc | 71.34 | 2018-12-07T21:59:52.869342Z | performing | EU | Spain | Madrid | Spain | ES | ESP | ... | 335 | 6.56 | 7.405895 | 24.500000 | 21.0 | 0.0 | 0.060055 | 6.562158 | 2019-01-07 | 11 |
10 rows × 50 columns
1.3 Análisis exploratorio¶
Función general¶
import sys
sys.path.append(r'C:\Users\kevin.vargas\Desktop\ds_kevin_vargas\Funciones')
from eda_utils import basic_eda
basic_eda(df_final)
Info general: <class 'pandas.core.frame.DataFrame'> RangeIndex: 26727 entries, 0 to 26726 Data columns (total 50 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 credit_id 26727 non-null object 1 total_amount 26727 non-null float64 2 created 26727 non-null object 3 target 26727 non-null object 4 country_continent 26727 non-null object 5 country_official_name 26727 non-null object 6 country_capital 26727 non-null object 7 country_name 26727 non-null object 8 country_alpha2 26727 non-null object 9 country_alpha3 26727 non-null object 10 country_numeric 26727 non-null object 11 country_locale 26727 non-null object 12 country_phone_prefix 26727 non-null object 13 country_currency_symbol 26727 non-null object 14 country_currency_code 26727 non-null object 15 country_currency_name 26727 non-null object 16 country_currency_numeric 26727 non-null object 17 merchant_id 26727 non-null object 18 merchant_activity_code 26727 non-null object 19 merchant_activity_name 26727 non-null object 20 merchant_activity_name_es 6358 non-null object 21 merchant_activity_name_en 6358 non-null object 22 checkout_origin 26727 non-null object 23 checkout_user_agent_device_model 25410 non-null object 24 checkout_user_agent_os_family 25410 non-null object 25 checkout_user_agent_is_mobile 25410 non-null object 26 checkout_user_agent_is_tablet 25410 non-null object 27 checkout_user_agent_device_brand 25410 non-null object 28 checkout_user_agent_is_pc 25410 non-null object 29 checkout_user_agent_os_version 25410 non-null object 30 checkout_user_agent_device_family 25410 non-null object 31 checkout_user_agent_browser_family 25410 non-null object 32 checkout_user_agent_browser_version 25410 non-null object 33 checkout_user_agent_value 25410 non-null object 34 checkout_user_agent_is_touch_capable 25410 non-null object 35 checkout_customer_birthday 26727 non-null object 36 checkout_customer_address_region 26727 non-null object 37 checkout_customer_document_id_type 26727 non-null object 38 checkout_user_agent 0 non-null float64 39 financing_principal 26727 non-null float64 40 financing_duration 26727 non-null int64 41 financing_downpayment_amount 26727 non-null float64 42 financing_total_interest_amount 26727 non-null float64 43 financing_annual_percentage_rate 26727 non-null float64 44 financing_customer_fee_tax_rate 26727 non-null float64 45 financing_total_tax_amount 26727 non-null float64 46 financing_daily_interest_per_cent 26727 non-null float64 47 financing_instalment_amount 26727 non-null float64 48 financing_first_payment_date 26727 non-null object 49 financing_num_instalments 26727 non-null int64 dtypes: float64(10), int64(2), object(38) memory usage: 10.2+ MB
None
Filas: 26727 | Columnas: 50 Columnas duplicadas: 0 Tipos de columnas: Numéricas (12): ['total_amount', 'checkout_user_agent', 'financing_principal', 'financing_duration', 'financing_downpayment_amount', 'financing_total_interest_amount', 'financing_annual_percentage_rate', 'financing_customer_fee_tax_rate', 'financing_total_tax_amount', 'financing_daily_interest_per_cent', 'financing_instalment_amount', 'financing_num_instalments'] Categóricas (38): ['credit_id', 'created', 'target', 'country_continent', 'country_official_name', 'country_capital', 'country_name', 'country_alpha2', 'country_alpha3', 'country_numeric', 'country_locale', 'country_phone_prefix', 'country_currency_symbol', 'country_currency_code', 'country_currency_name', 'country_currency_numeric', 'merchant_id', 'merchant_activity_code', 'merchant_activity_name', 'merchant_activity_name_es', 'merchant_activity_name_en', 'checkout_origin', 'checkout_user_agent_device_model', 'checkout_user_agent_os_family', 'checkout_user_agent_is_mobile', 'checkout_user_agent_is_tablet', 'checkout_user_agent_device_brand', 'checkout_user_agent_is_pc', 'checkout_user_agent_os_version', 'checkout_user_agent_device_family', 'checkout_user_agent_browser_family', 'checkout_user_agent_browser_version', 'checkout_user_agent_value', 'checkout_user_agent_is_touch_capable', 'checkout_customer_birthday', 'checkout_customer_address_region', 'checkout_customer_document_id_type', 'financing_first_payment_date'] Otras (0): [] Descripción estadística:
| total_amount | checkout_user_agent | financing_principal | financing_duration | financing_downpayment_amount | financing_total_interest_amount | financing_annual_percentage_rate | financing_customer_fee_tax_rate | financing_total_tax_amount | financing_daily_interest_per_cent | financing_instalment_amount | financing_num_instalments | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 26727.000000 | 0.0 | 26727.000000 | 26727.000000 | 26727.000000 | 26727.000000 | 26727.000000 | 26727.000000 | 26727.0 | 26727.000000 | 26727.000000 | 26727.000000 |
| mean | 363.783704 | NaN | 288.146210 | 199.837505 | 66.991562 | 15.200610 | 18.603670 | 9.151308 | 0.0 | 0.055810 | 53.951505 | 6.667976 |
| std | 426.207521 | NaN | 366.558646 | 118.875399 | 95.940822 | 28.616398 | 9.849386 | 10.413217 | 0.0 | 0.012128 | 100.557838 | 3.914561 |
| min | 0.800000 | NaN | 0.005740 | 0.000000 | 0.190000 | 0.000000 | -0.000255 | 0.000000 | 0.0 | 0.000000 | 0.001170 | 1.000000 |
| 25% | 122.310000 | NaN | 86.752256 | 119.000000 | 23.295000 | 1.066514 | 20.000000 | 0.000000 | 0.0 | 0.060055 | 17.958051 | 4.000000 |
| 50% | 222.040000 | NaN | 168.458784 | 162.000000 | 40.000000 | 5.199420 | 24.500000 | 0.000000 | 0.0 | 0.060055 | 32.218629 | 6.000000 |
| 75% | 427.785000 | NaN | 337.392259 | 336.000000 | 75.635000 | 16.797996 | 24.500000 | 21.000000 | 0.0 | 0.060055 | 59.103906 | 11.000000 |
| max | 3686.340000 | NaN | 2865.927731 | 758.000000 | 2239.090000 | 655.136030 | 244.826455 | 21.000000 | 0.0 | 0.060055 | 2079.999963 | 24.000000 |
Valores nulos por columna:
credit_id 0 total_amount 0 created 0 target 0 country_continent 0 country_official_name 0 country_capital 0 country_name 0 country_alpha2 0 country_alpha3 0 country_numeric 0 country_locale 0 country_phone_prefix 0 country_currency_symbol 0 country_currency_code 0 country_currency_name 0 country_currency_numeric 0 merchant_id 0 merchant_activity_code 0 merchant_activity_name 0 merchant_activity_name_es 20369 merchant_activity_name_en 20369 checkout_origin 0 checkout_user_agent_device_model 1317 checkout_user_agent_os_family 1317 checkout_user_agent_is_mobile 1317 checkout_user_agent_is_tablet 1317 checkout_user_agent_device_brand 1317 checkout_user_agent_is_pc 1317 checkout_user_agent_os_version 1317 checkout_user_agent_device_family 1317 checkout_user_agent_browser_family 1317 checkout_user_agent_browser_version 1317 checkout_user_agent_value 1317 checkout_user_agent_is_touch_capable 1317 checkout_customer_birthday 0 checkout_customer_address_region 0 checkout_customer_document_id_type 0 checkout_user_agent 26727 financing_principal 0 financing_duration 0 financing_downpayment_amount 0 financing_total_interest_amount 0 financing_annual_percentage_rate 0 financing_customer_fee_tax_rate 0 financing_total_tax_amount 0 financing_daily_interest_per_cent 0 financing_instalment_amount 0 financing_first_payment_date 0 financing_num_instalments 0 dtype: int64
Distribución de columnas numéricas:
Distribución de columnas categóricas:
--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) Cell In[5], line 6 2 sys.path.append(r'C:\Users\kevin.vargas\Desktop\ds_kevin_vargas\Funciones') 4 from eda_utils import basic_eda ----> 6 basic_eda(df_final) File ~\Desktop\ds_kevin_vargas\Funciones\eda_utils.py:43, in basic_eda(df) 41 for col in cat_cols: 42 plt.figure(figsize=(8, 5)) ---> 43 sns.countplot(x=df[col]) 44 plt.title(f"Distribución de {col}") 45 plt.xticks(rotation=45) File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\seaborn\categorical.py:2675, in countplot(data, x, y, hue, order, hue_order, orient, color, palette, saturation, fill, hue_norm, stat, width, dodge, gap, log_scale, native_scale, formatter, legend, ax, **kwargs) 2671 p.plot_data[count_axis] /= len(p.plot_data) / denom 2673 aggregator = EstimateAggregator("sum", errorbar=None) -> 2675 p.plot_bars( 2676 aggregator=aggregator, 2677 dodge=dodge, 2678 width=width, 2679 gap=gap, 2680 color=color, 2681 fill=fill, 2682 capsize=0, 2683 err_kws={}, 2684 plot_kws=kwargs, 2685 ) 2687 p._add_axis_labels(ax) 2688 p._adjust_cat_axis(ax, axis=p.orient) File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\seaborn\categorical.py:1315, in _CategoricalPlotter.plot_bars(self, aggregator, dodge, gap, width, fill, color, capsize, err_kws, plot_kws) 1312 else: 1313 kws.update(color=main_color, edgecolor=main_color, facecolor="none") -> 1315 bar_func(**{**kws, **plot_kws}) 1317 if aggregator.error_method is not None: 1318 self.plot_errorbars( 1319 ax, agg_data, capsize, 1320 {"color": ".26" if fill else main_color, **err_kws} 1321 ) File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\matplotlib\__init__.py:1473, in _preprocess_data.<locals>.inner(ax, data, *args, **kwargs) 1470 @functools.wraps(func) 1471 def inner(ax, *args, data=None, **kwargs): 1472 if data is None: -> 1473 return func( 1474 ax, 1475 *map(sanitize_sequence, args), 1476 **{k: sanitize_sequence(v) for k, v in kwargs.items()}) 1478 bound = new_sig.bind(ax, *args, **kwargs) 1479 auto_label = (bound.arguments.get(label_namer) 1480 or bound.kwargs.get(label_namer)) File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\matplotlib\axes\_axes.py:2597, in Axes.bar(self, x, height, width, bottom, align, **kwargs) 2595 else: # horizontal 2596 r.sticky_edges.x.append(l) -> 2597 self.add_patch(r) 2598 patches.append(r) 2600 if xerr is not None or yerr is not None: File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\matplotlib\axes\_base.py:2414, in _AxesBase.add_patch(self, p) 2412 if p.get_clip_path() is None: 2413 p.set_clip_path(self.patch) -> 2414 self._update_patch_limits(p) 2415 self._children.append(p) 2416 p._remove_method = self._children.remove File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\matplotlib\axes\_base.py:2456, in _AxesBase._update_patch_limits(self, patch) 2454 updatey = False 2455 trf_to_data = patch_trf - self.transData -> 2456 xys = trf_to_data.transform(vertices) 2457 self.update_datalim(xys, updatex=updatex, updatey=updatey) File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\matplotlib\transforms.py:1505, in Transform.transform(self, values) 1502 values = values.reshape((-1, self.input_dims)) 1504 # Transform the values -> 1505 res = self.transform_affine(self.transform_non_affine(values)) 1507 # Convert the result back to the shape of the input values. 1508 if ndim == 0: File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\matplotlib\_api\deprecation.py:300, in rename_parameter.<locals>.wrapper(*args, **kwargs) 295 warn_deprecated( 296 since, message=f"The {old!r} parameter of {func.__name__}() " 297 f"has been renamed {new!r} since Matplotlib {since}; support " 298 f"for the old name will be dropped %(removal)s.") 299 kwargs[new] = kwargs.pop(old) --> 300 return func(*args, **kwargs) File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\matplotlib\transforms.py:2428, in CompositeGenericTransform.transform_affine(self, values) 2425 @_api.rename_parameter("3.8", "points", "values") 2426 def transform_affine(self, values): 2427 # docstring inherited -> 2428 return self.get_affine().transform(values) File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\matplotlib\transforms.py:2455, in CompositeGenericTransform.get_affine(self) 2453 return self._b.get_affine() 2454 else: -> 2455 return Affine2D(np.dot(self._b.get_affine().get_matrix(), 2456 self._a.get_affine().get_matrix())) KeyboardInterrupt:
Error in callback <function _draw_all_if_interactive at 0x0000011E9FEF4670> (for post_execute), with arguments args (),kwargs {}:
KeyboardInterrupt
Error in callback <function flush_figures at 0x0000011EA19F9550> (for post_execute), with arguments args (),kwargs {}:
Valores nulos¶
# Valores nulos absolutos y relativos (%)
nulls_abs = df_final.isnull().sum()
nulls_pct = (nulls_abs / len(df_final)) * 100
# Crear tabla resumen ordenada
nulls_df = pd.DataFrame({
'missing_count': nulls_abs,
'missing_pct': nulls_pct
}).sort_values(by='missing_pct', ascending=False)
# Mostrar solo las columnas con algún valor nulo
nulls_df[nulls_df['missing_count'] > 0]
nulls_df
| missing_count | missing_pct | |
|---|---|---|
| checkout_user_agent | 26727 | 100.000000 |
| merchant_activity_name_en | 20369 | 76.211322 |
| merchant_activity_name_es | 20369 | 76.211322 |
| checkout_user_agent_is_mobile | 1317 | 4.927601 |
| checkout_user_agent_is_pc | 1317 | 4.927601 |
| checkout_user_agent_is_tablet | 1317 | 4.927601 |
| checkout_user_agent_os_version | 1317 | 4.927601 |
| checkout_user_agent_os_family | 1317 | 4.927601 |
| checkout_user_agent_device_model | 1317 | 4.927601 |
| checkout_user_agent_device_family | 1317 | 4.927601 |
| checkout_user_agent_browser_family | 1317 | 4.927601 |
| checkout_user_agent_browser_version | 1317 | 4.927601 |
| checkout_user_agent_value | 1317 | 4.927601 |
| checkout_user_agent_is_touch_capable | 1317 | 4.927601 |
| checkout_user_agent_device_brand | 1317 | 4.927601 |
| checkout_customer_birthday | 0 | 0.000000 |
| checkout_customer_document_id_type | 0 | 0.000000 |
| financing_principal | 0 | 0.000000 |
| financing_duration | 0 | 0.000000 |
| financing_downpayment_amount | 0 | 0.000000 |
| financing_total_interest_amount | 0 | 0.000000 |
| financing_annual_percentage_rate | 0 | 0.000000 |
| financing_customer_fee_tax_rate | 0 | 0.000000 |
| financing_total_tax_amount | 0 | 0.000000 |
| financing_daily_interest_per_cent | 0 | 0.000000 |
| financing_instalment_amount | 0 | 0.000000 |
| financing_first_payment_date | 0 | 0.000000 |
| checkout_customer_address_region | 0 | 0.000000 |
| credit_id | 0 | 0.000000 |
| total_amount | 0 | 0.000000 |
| country_numeric | 0 | 0.000000 |
| created | 0 | 0.000000 |
| target | 0 | 0.000000 |
| country_continent | 0 | 0.000000 |
| country_official_name | 0 | 0.000000 |
| country_capital | 0 | 0.000000 |
| country_name | 0 | 0.000000 |
| country_alpha2 | 0 | 0.000000 |
| country_alpha3 | 0 | 0.000000 |
| country_locale | 0 | 0.000000 |
| checkout_origin | 0 | 0.000000 |
| country_phone_prefix | 0 | 0.000000 |
| country_currency_symbol | 0 | 0.000000 |
| country_currency_code | 0 | 0.000000 |
| country_currency_name | 0 | 0.000000 |
| country_currency_numeric | 0 | 0.000000 |
| merchant_id | 0 | 0.000000 |
| merchant_activity_code | 0 | 0.000000 |
| merchant_activity_name | 0 | 0.000000 |
| financing_num_instalments | 0 | 0.000000 |
checkout_user_agent — 100% nulos Tipo: contiene el JSON completo del user agent (ya lo desanidé)
Acción: Eliminar. No aporta nada y está totalmente vacío.merchant_activity_name_en, merchant_activity_name_es — 76% nulos Tipo: descripciones del sector del comercio
Acción: Eliminar las versiones en y es (son redundantes y casi vacías)Variables de checkout_user_agent_* — ~5% nulos Ejemplos: device_model, browser_version, os_family, is_mobile, etc.
Acción: Mantenerlas, porque en su mayoría están bien. Imputar con 'unknown' (para strings) o False/True (para booleanos), según convenga
Variable objetivo target¶
import matplotlib.pyplot as plt
import seaborn as sns
# Conteo absoluto y relativo
print("Conteo absoluto:")
print(df_final['target'].value_counts())
print("\nDistribución porcentual:")
print(df_final['target'].value_counts(normalize=True) * 100)
# Gráfico
plt.figure(figsize=(6,4))
sns.countplot(data=df_final, x='target', palette='Set2')
plt.title('Distribución de la variable objetivo (target)')
plt.xlabel('Clase de crédito')
plt.ylabel('Frecuencia')
plt.show()
Conteo absoluto: target performing 24527 credit_risk 2001 fraud_risk 199 Name: count, dtype: int64 Distribución porcentual: target performing 91.768623 credit_risk 7.486811 fraud_risk 0.744565 Name: proportion, dtype: float64
C:\Users\kevin.vargas\AppData\Local\Temp\ipykernel_20872\3112474785.py:12: FutureWarning: Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect. sns.countplot(data=df_final, x='target', palette='Set2')
¿Qué consecuencias tiene? Consecuencias muy importantes porque nos encontramos ante una variable con desbalance muy alto.
Si uso accuracy como métrica, un modelo que siempre prediga performing tendría ~92% de acierto… pero sería inútil.
Las clases minoritarias (credit_risk, fraud_risk) son precisamente las más importantes para x negocio.
El modelo debe detectar anomalías, aunque haya pocos ejemplos y es justamente el problema que me encuentro aqui.
¿Qué opciones tengo?
- Usar métricas robustas:
precision, recall, f1-score por clase
confusion_matrix
Macro/micro averaged f1-score
- Rebalanceo de clases: Podría hacerlo de dos maneras (complementarias):
a) Durante el entrenamiento
- Si usase modelos de Scikit-learn como RandomForestClassifier, LogisticRegression, etc.: tendría que especificar (class_weight='balanced'), lo que le diria al modelo es que de mas importancia a las clases raras. Calcularia un peso inversamente proporcional a la frecuencia de cada clase. Le daria mas peso a las clases menos frecuentes y cuando el modelo falle al predecir esos pesos penalizara mas.
b) Rebalanceo en los datos al Usar sobremuestreo (SMOTE) o submuestreo
Habrá 3 tacticas a utilizar:
Empezar con class_weight='balanced' solo. ➜ Medida base. Podría ver cuánto mejora sin tocar datos.
Probar SMOTE parcial (ej. 70-30) + class_weight='balanced'. ➜ Generalmente la mejor opción en casos extremos como el mio por el balance.
(Opcional) Por ultimo como curiosidad podria probar SMOTE total sin class_weight. ➜ Compararé si merece la pena balancear del todo o no.
1.4 Limpieza de datos¶
Valores nulos¶
#Eliminare la columna porque ya no aporta nada y esta totalmente vacia y otras porque son redundantes y casi vacias
# Eliminar columnas irrelevantes o vacías
df_final.drop(columns=[
'checkout_user_agent',
'merchant_activity_name_en',
'merchant_activity_name_es',
'financing_total_tax_amount' # Agregar esta
], inplace=True)
# Sustituir con unkwown para categoricas y booleanos para numericas
# Para strings/categorías
cols_str = [
'checkout_user_agent_os_family',
'checkout_user_agent_browser_family',
'checkout_user_agent_browser_version',
'checkout_user_agent_device_model',
'checkout_user_agent_device_family',
'checkout_user_agent_device_brand',
'checkout_user_agent_value',
'checkout_user_agent_os_version'
]
for col in cols_str:
df_final[col].fillna('unknown', inplace=True)
# Para booleanos
cols_bool = [
'checkout_user_agent_is_mobile',
'checkout_user_agent_is_pc',
'checkout_user_agent_is_tablet',
'checkout_user_agent_is_touch_capable'
]
for col in cols_bool:
df_final[col].fillna(False, inplace=True)
# COMPROBAR NUEVAMENTE EL CONTEO DE VALORES NULOS
# Valores nulos absolutos y relativos (%)
nulls_abs = df_final.isnull().sum()
nulls_pct = (nulls_abs / len(df_final)) * 100
# Crear tabla resumen ordenada
nulls_df = pd.DataFrame({
'missing_count': nulls_abs,
'missing_pct': nulls_pct
}).sort_values(by='missing_pct', ascending=False)
# Mostrar solo las columnas con algún valor nulo
nulls_df[nulls_df['missing_count'] > 0]
nulls_df
| missing_count | missing_pct | |
|---|---|---|
| credit_id | 0 | 0.0 |
| checkout_customer_address_region | 0 | 0.0 |
| checkout_user_agent_device_brand | 0 | 0.0 |
| checkout_user_agent_is_pc | 0 | 0.0 |
| checkout_user_agent_os_version | 0 | 0.0 |
| checkout_user_agent_device_family | 0 | 0.0 |
| checkout_user_agent_browser_family | 0 | 0.0 |
| checkout_user_agent_browser_version | 0 | 0.0 |
| checkout_user_agent_value | 0 | 0.0 |
| checkout_user_agent_is_touch_capable | 0 | 0.0 |
| checkout_customer_birthday | 0 | 0.0 |
| checkout_customer_document_id_type | 0 | 0.0 |
| total_amount | 0 | 0.0 |
| financing_principal | 0 | 0.0 |
| financing_duration | 0 | 0.0 |
| financing_downpayment_amount | 0 | 0.0 |
| financing_total_interest_amount | 0 | 0.0 |
| financing_annual_percentage_rate | 0 | 0.0 |
| financing_customer_fee_tax_rate | 0 | 0.0 |
| financing_daily_interest_per_cent | 0 | 0.0 |
| financing_instalment_amount | 0 | 0.0 |
| financing_first_payment_date | 0 | 0.0 |
| checkout_user_agent_is_tablet | 0 | 0.0 |
| checkout_user_agent_is_mobile | 0 | 0.0 |
| checkout_user_agent_os_family | 0 | 0.0 |
| checkout_user_agent_device_model | 0 | 0.0 |
| created | 0 | 0.0 |
| target | 0 | 0.0 |
| country_continent | 0 | 0.0 |
| country_official_name | 0 | 0.0 |
| country_capital | 0 | 0.0 |
| country_name | 0 | 0.0 |
| country_alpha2 | 0 | 0.0 |
| country_alpha3 | 0 | 0.0 |
| country_numeric | 0 | 0.0 |
| country_locale | 0 | 0.0 |
| country_phone_prefix | 0 | 0.0 |
| country_currency_symbol | 0 | 0.0 |
| country_currency_code | 0 | 0.0 |
| country_currency_name | 0 | 0.0 |
| country_currency_numeric | 0 | 0.0 |
| merchant_id | 0 | 0.0 |
| merchant_activity_code | 0 | 0.0 |
| merchant_activity_name | 0 | 0.0 |
| checkout_origin | 0 | 0.0 |
| financing_num_instalments | 0 | 0.0 |
1.5 Feature engineering¶
1.5.1 Variables temporales dedicadas¶
Edad del cliente¶
# Convertir a datetime y quitar zona horaria
df_final['created'] = pd.to_datetime(df_final['created']).dt.tz_localize(None)
df_final['checkout_customer_birthday'] = pd.to_datetime(df_final['checkout_customer_birthday'])
# Calcular edad del cliente
df_final['customer_age'] = (df_final['created'] - df_final['checkout_customer_birthday']).dt.days // 365
Días entre solicitud y primer pago¶
df_final['financing_first_payment_date'] = pd.to_datetime(df_final['financing_first_payment_date'])
df_final['days_to_first_payment'] = (df_final['financing_first_payment_date'] - df_final['created']).dt.days
Features del momento de la creación de la solicitud¶
df_final['created_month'] = df_final['created'].dt.month
df_final['created_day'] = df_final['created'].dt.day
df_final['created_weekday'] = df_final['created'].dt.weekday # 0 = lunes
df_final['created_hour'] = df_final['created'].dt.hour
Eliminar columnas que ya no son necesarias¶
df_final.drop(columns=[
'checkout_customer_birthday',
'created',
'financing_first_payment_date'
], inplace=True)
Eliminar errores en alguna columna¶
# Eliminar casos con valores negativos
df_final = df_final[df_final['days_to_first_payment'] >= 0]
#Esto es debido a que en days to first payment encuentro un valor negativo por lo que no tiene sentido mantenerlo,supondría haber pagado antes de tiempo.
df_final
| credit_id | total_amount | target | country_continent | country_official_name | country_capital | country_name | country_alpha2 | country_alpha3 | country_numeric | ... | financing_customer_fee_tax_rate | financing_daily_interest_per_cent | financing_instalment_amount | financing_num_instalments | customer_age | days_to_first_payment | created_month | created_day | created_weekday | created_hour | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 9a2d10fd9e8941de98cc7de1441fdcda | 148.27 | performing | EU | Spain | Madrid | Spain | ES | ESP | 724 | ... | 21.0 | 0.060055 | 29.654000 | 4 | 64 | 30 | 12 | 8 | 5 | 9 |
| 1 | d4183f2f7bde479fa22b00fc13f478d0 | 26.77 | performing | EU | Spain | Madrid | Spain | ES | ESP | 724 | ... | 21.0 | 0.060055 | 6.878711 | 3 | 27 | 30 | 12 | 8 | 5 | 9 |
| 2 | 339c4435b0e0461eb7d8149d702bf88a | 155.99 | performing | EU | Spain | Madrid | Spain | ES | ESP | 724 | ... | 21.0 | 0.060055 | 22.284286 | 6 | 26 | 30 | 12 | 8 | 5 | 9 |
| 3 | 68a840a4725144118aca09513a5db11b | 189.00 | performing | EU | Spain | Madrid | Spain | ES | ESP | 724 | ... | 0.0 | 0.060055 | 18.900000 | 9 | 38 | 30 | 12 | 8 | 5 | 11 |
| 4 | 5ed94ecd629e4d65a76e6d32aedf8fa5 | 482.79 | performing | EU | Spain | Madrid | Spain | ES | ESP | 724 | ... | 0.0 | 0.049964 | 40.553198 | 12 | 59 | 26 | 12 | 8 | 5 | 9 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 26722 | 24d9e960b53345429f85d641520b2bfb | 2244.85 | credit_risk | EU | Spain | Madrid | Spain | ES | ESP | 724 | ... | 0.0 | 0.060055 | 118.150000 | 16 | 41 | 89 | 10 | 30 | 1 | 12 |
| 26723 | 0e3b7e2935c34c8abddacc1ace481f2a | 1200.00 | performing | EU | Spain | Madrid | Spain | ES | ESP | 724 | ... | 21.0 | 0.000000 | 48.000000 | 24 | 33 | 29 | 11 | 12 | 0 | 16 |
| 26724 | bd79cf38ff6043d1a118c03687ef5160 | 2800.00 | performing | EU | Spain | Madrid | Spain | ES | ESP | 724 | ... | 0.0 | 0.060055 | 138.205441 | 24 | 19 | 29 | 6 | 12 | 1 | 15 |
| 26725 | 92733ac0ee084410a72c66e7710f1ad4 | 2684.88 | performing | EU | Spain | Madrid | Spain | ES | ESP | 724 | ... | 0.0 | 0.060055 | 128.078606 | 24 | 19 | 29 | 6 | 12 | 1 | 8 |
| 26726 | 4ca19630e6744267964b4bcb0d8d1b34 | 1995.00 | performing | EU | Spain | Madrid | Spain | ES | ESP | 724 | ... | 0.0 | 0.060055 | 79.800000 | 24 | 24 | 30 | 7 | 12 | 3 | 9 |
26726 rows × 49 columns
1.6 Codificación de variables¶
Identificar columnas categóricas¶
cat_cols = df_final.select_dtypes(include='object').columns.tolist()
cat_cols.remove('target') # No codifico la variable objetivo
print(cat_cols)
['credit_id', 'country_continent', 'country_official_name', 'country_capital', 'country_name', 'country_alpha2', 'country_alpha3', 'country_numeric', 'country_locale', 'country_phone_prefix', 'country_currency_symbol', 'country_currency_code', 'country_currency_name', 'country_currency_numeric', 'merchant_id', 'merchant_activity_code', 'merchant_activity_name', 'checkout_origin', 'checkout_user_agent_device_model', 'checkout_user_agent_os_family', 'checkout_user_agent_device_brand', 'checkout_user_agent_os_version', 'checkout_user_agent_device_family', 'checkout_user_agent_browser_family', 'checkout_user_agent_browser_version', 'checkout_user_agent_value', 'checkout_customer_address_region', 'checkout_customer_document_id_type']
Frecuencia de categorias¶
for col in cat_cols:
print(f"\n {col} - {df_final[col].nunique()} categorías únicas")
print(df_final[col].value_counts(dropna=False).head(10))
credit_id - 26726 categorías únicas
credit_id
9a2d10fd9e8941de98cc7de1441fdcda 1
b369c4e27274497e9966ef86eeaf0297 1
994227c3c529440b84708dc1cd526e21 1
ad206f15beb3475e8d2d69a0fb9f5d21 1
006b33af71b54589af976d338fcff4ba 1
c822e2735bd54b43b26b52c47f2d6ba7 1
58162e324a354766a90a21faf5104727 1
08db8297bc6f43b0b7cfc399c4ed8590 1
bdb6b4829b68435db06ecb43764b1a1b 1
16d0f3d1a8334a21a7b7a93b8ea4fdb2 1
Name: count, dtype: int64
country_continent - 1 categorías únicas
country_continent
EU 26726
Name: count, dtype: int64
country_official_name - 1 categorías únicas
country_official_name
Spain 26726
Name: count, dtype: int64
country_capital - 1 categorías únicas
country_capital
Madrid 26726
Name: count, dtype: int64
country_name - 1 categorías únicas
country_name
Spain 26726
Name: count, dtype: int64
country_alpha2 - 1 categorías únicas
country_alpha2
ES 26726
Name: count, dtype: int64
country_alpha3 - 1 categorías únicas
country_alpha3
ESP 26726
Name: count, dtype: int64
country_numeric - 1 categorías únicas
country_numeric
724 26726
Name: count, dtype: int64
country_locale - 1 categorías únicas
country_locale
es-ES 26726
Name: count, dtype: int64
country_phone_prefix - 1 categorías únicas
country_phone_prefix
34 26726
Name: count, dtype: int64
country_currency_symbol - 1 categorías únicas
country_currency_symbol
€ 26726
Name: count, dtype: int64
country_currency_code - 1 categorías únicas
country_currency_code
EUR 26726
Name: count, dtype: int64
country_currency_name - 1 categorías únicas
country_currency_name
Euro 26726
Name: count, dtype: int64
country_currency_numeric - 1 categorías únicas
country_currency_numeric
978 26726
Name: count, dtype: int64
merchant_id - 500 categorías únicas
merchant_id
513f1c5b8be0415497902ee716840403 5551
776b630e228e499c83b66f8f0ddaab18 1750
2f182e9917224694bce73fe84faf711f 1066
a3cb9f48879c436782aceeed2e921ec4 1017
f43a67a66d6f42779459fff92bc713e9 698
7b61029ddd004632a8e6760eefcdab1f 679
1c7e0c2119c949c6bac4df44a0d3b513 669
835ab5cf241949b88027b10a547eedb2 597
5457d93816a645c3be4fc537540fb56a 578
bd03ca12a16f4fe9947c99af7f262bea 473
Name: count, dtype: int64
merchant_activity_code - 21 categorías únicas
merchant_activity_code
9 8261
17 5301
10 3837
5 1998
4 1534
20 931
18 817
19 785
23 716
12 641
Name: count, dtype: int64
merchant_activity_name - 41 categorías únicas
merchant_activity_name
Hogar y Decoración 5522
Moda y Complementos 3537
Informatica y Electrónica 2821
Home and Decor 2739
Fashion and Accessories 1764
Educación y Formación 1397
Deportes 1109
Computing and Electronic 1016
Salud y Belleza 701
Motor, Recambios y Accesorios Motor 630
Name: count, dtype: int64
checkout_origin - 2 categorías únicas
checkout_origin
online 26508
offline 218
Name: count, dtype: int64
checkout_user_agent_device_model - 661 categorías únicas
checkout_user_agent_device_model
11209
iPhone 4562
Smartphone 1846
unknown 1317
iPad 974
SM-G950F 269
SM-G935F 268
SM-G930F 259
SM-G955F 234
SM-G920F 198
Name: count, dtype: int64
checkout_user_agent_os_family - 18 categorías únicas
checkout_user_agent_os_family
android 8314
ios 5879
windows 5856
mac os x 1900
windows 10 1518
unknown 1317
windows 7 1289
windows 8.1 247
windows xp 209
linux 73
Name: count, dtype: int64
checkout_user_agent_device_brand - 31 categorías únicas
checkout_user_agent_device_brand
11209
Apple 5879
Samsung 3148
Generic 1853
unknown 1317
Huawei 1313
Generic_Android 953
XiaoMi 447
LG 263
Motorola 61
Name: count, dtype: int64
checkout_user_agent_os_version - 132 categorías únicas
checkout_user_agent_os_version
3695
10 3595
8.0.0 2551
7.0 2342
7 1719
unknown 1317
11.4.1 990
12.1 874
8.1.0 731
11.3 670
Name: count, dtype: int64
checkout_user_agent_device_family - 641 categorías únicas
checkout_user_agent_device_family
other 11209
iphone 4896
generic smartphone 1846
unknown 1317
ipad 982
samsung sm-g950f 269
samsung sm-g935f 268
samsung sm-g930f 259
samsung sm-g955f 234
samsung sm-g920f 198
Name: count, dtype: int64
checkout_user_agent_browser_family - 35 categorías únicas
checkout_user_agent_browser_family
Chrome 7926
Chrome Mobile 5854
Mobile Safari 5039
Firefox 1443
unknown 1317
Chrome Mobile WebView 970
Safari 927
Samsung Internet 828
IE 651
Edge 564
Name: count, dtype: int64
checkout_user_agent_browser_version - 285 categorías únicas
checkout_user_agent_browser_version
70.0.3538 3227
11.0 2739
69.0.3497 2304
68.0.3440 1910
12.0 1609
unknown 1317
66.0.3359 1312
67.0.3396 1221
63.0.3239 1217
71.0.3578 1050
Name: count, dtype: int64
checkout_user_agent_value - 5663 categorías únicas
checkout_user_agent_value
unknown 1317
Mozilla/5.0 (iPhone; CPU iPhone OS 11_4_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.0 Mobile/15E148 Safari/604.1 698
Mozilla/5.0 (iPhone; CPU iPhone OS 12_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Safari/604.1 569
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36 539
Mozilla/5.0 (iPhone; CPU iPhone OS 11_3 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/11.0 Mobile/15E148 Safari/604.1 483
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36 464
Mozilla/5.0 (iPhone; CPU iPhone OS 12_0_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/12.0 Mobile/15E148 Safari/604.1 381
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.140 Safari/537.36 Edge/17.17134 309
Mozilla/5.0 (iPhone; CPU iPhone OS 11_2_6 like Mac OS X) AppleWebKit/604.5.6 (KHTML, like Gecko) Version/11.0 Mobile/15D100 Safari/604.1 305
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 303
Name: count, dtype: int64
checkout_customer_address_region - 50 categorías únicas
checkout_customer_address_region
Andalucía 5192
Comunidad de Madrid 5014
Catalunya 3296
Comunidad Valenciana 2106
Galicia 1438
Castilla y León 1238
Castilla-La Mancha 915
Cataluña 886
Aragón 784
Euskadi 777
Name: count, dtype: int64
checkout_customer_document_id_type - 2 categorías únicas
checkout_customer_document_id_type
nif 25021
nie 1705
Name: count, dtype: int64
¿Por qué eliminar todas las columnas country_*? En mi análisis se ve que todas estas columnas tienen solo un único valor en todas las filas:
country_name Spain country_alpha2 ES country_currency Euro country_locale es-ES
¿Qué pasa cuando una variable solo tiene un valor?
No aporta ninguna información discriminativa al modelo.
Es como tener una columna que dice "España" en todas las filas.
A nivel estadístico, tiene varianza nula → no ayuda a separar clases.
Puede incluso aumentar el ruido y el tiempo de cómputo.
Conclusión:
Si una variable no varía, no informa → y por tanto, se elimina siempre en Machine Learning.
Es exactamente lo mismo que eliminar una columna que siempre tiene un 0, un True, o una misma palabra.
Eliminar columnas¶
Vamos a eliminar todas las columnas que no transmitan informacion (aquellas donde todos sus valores sean los mismos)
cols_to_drop = [
# ID irrelevante o con demasiada cardinalidad
'credit_id',
'checkout_user_agent_value',
# Columnas constantes (solo España)
'country_continent', 'country_official_name', 'country_capital', 'country_name',
'country_alpha2', 'country_alpha3', 'country_numeric', 'country_locale',
'country_phone_prefix', 'country_currency_symbol', 'country_currency_code',
'country_currency_name', 'country_currency_numeric',
# Columnas muy granulares sin valor añadido
'checkout_user_agent_browser_version',
'checkout_user_agent_os_version'
]
df_final.drop(columns=cols_to_drop, inplace=True)
df_final
| total_amount | target | merchant_id | merchant_activity_code | merchant_activity_name | checkout_origin | checkout_user_agent_device_model | checkout_user_agent_os_family | checkout_user_agent_is_mobile | checkout_user_agent_is_tablet | ... | financing_customer_fee_tax_rate | financing_daily_interest_per_cent | financing_instalment_amount | financing_num_instalments | customer_age | days_to_first_payment | created_month | created_day | created_weekday | created_hour | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 148.27 | performing | 776b630e228e499c83b66f8f0ddaab18 | 10 | Informatica y Electrónica | online | windows | False | False | ... | 21.0 | 0.060055 | 29.654000 | 4 | 64 | 30 | 12 | 8 | 5 | 9 | |
| 1 | 26.77 | performing | 94095397bf6e449e8332ac678040ab70 | 16 | Mascotas | online | Smartphone | android | True | False | ... | 21.0 | 0.060055 | 6.878711 | 3 | 27 | 30 | 12 | 8 | 5 | 9 |
| 2 | 155.99 | performing | 776b630e228e499c83b66f8f0ddaab18 | 10 | Informatica y Electrónica | online | iPhone | ios | True | False | ... | 21.0 | 0.060055 | 22.284286 | 6 | 26 | 30 | 12 | 8 | 5 | 9 |
| 3 | 189.00 | performing | e2f9246b7b9e432fb07372c1b1d36dcc | 17 | Moda y Complementos | online | iPhone | ios | True | False | ... | 0.0 | 0.060055 | 18.900000 | 9 | 38 | 30 | 12 | 8 | 5 | 11 |
| 4 | 482.79 | performing | 513f1c5b8be0415497902ee716840403 | 9 | Hogar y Decoración | online | iPhone | ios | True | False | ... | 0.0 | 0.049964 | 40.553198 | 12 | 59 | 26 | 12 | 8 | 5 | 9 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 26722 | 2244.85 | credit_risk | 7d9ba35904ef4552a356a2f0f93869c3 | 5 | Education and Training | online | windows | False | False | ... | 0.0 | 0.060055 | 118.150000 | 16 | 41 | 89 | 10 | 30 | 1 | 12 | |
| 26723 | 1200.00 | performing | ab99e826f7ab4f8987d8cf7d0ea37579 | 9 | Home and Decor | online | Smartphone | android | False | True | ... | 21.0 | 0.000000 | 48.000000 | 24 | 33 | 29 | 11 | 12 | 0 | 16 |
| 26724 | 2800.00 | performing | 085d07df19a14ea28a2a923bcb6c323a | 5 | Education and Training | online | windows | False | False | ... | 0.0 | 0.060055 | 138.205441 | 24 | 19 | 29 | 6 | 12 | 1 | 15 | |
| 26725 | 2684.88 | performing | 6909ac8bc4884cdbbd7bea25e0a1d5d1 | 5 | Education and Training | online | windows | False | False | ... | 0.0 | 0.060055 | 128.078606 | 24 | 19 | 29 | 6 | 12 | 1 | 8 | |
| 26726 | 1995.00 | performing | 7d9ba35904ef4552a356a2f0f93869c3 | 5 | Education and Training | online | unknown | unknown | False | False | ... | 0.0 | 0.060055 | 79.800000 | 24 | 24 | 30 | 7 | 12 | 3 | 9 |
26726 rows × 32 columns
OneHotEncoder¶
# Agrupar los merchant_id más frecuentes y agrupar el resto en 'other'
#top_merchant_ids = df_final['merchant_id'].value_counts().nlargest(10).index
#df_final['merchant_id'] = df_final['merchant_id'].apply(lambda x: x if x in top_merchant_ids else 'other')
# Agrupar los device_model más frecuentes y agrupar el resto en 'other'
#top_device_models = df_final['checkout_user_agent_device_model'].value_counts().nlargest(10).index
#df_final['checkout_user_agent_device_model'] = df_final['checkout_user_agent_device_model'].apply(
# lambda x: x if x in top_device_models else 'other'
#)
# Agrupar los device_family más frecuentes y agrupar el resto en 'other'
#top_device_families = df_final['checkout_user_agent_device_family'].value_counts().nlargest(10).index
#df_final['checkout_user_agent_device_family'] = df_final['checkout_user_agent_device_family'].apply(
# lambda x: x if x in top_device_families else 'other'
#)
# Estas sí aplican umbral
cols_with_umbral = [
'merchant_id',
'checkout_user_agent_device_model',
'checkout_user_agent_device_family',
'merchant_activity_name',
'checkout_user_agent_os_family',
'merchant_activity_code',
'checkout_user_agent_device_brand',
'checkout_user_agent_browser_family',
'checkout_customer_address_region' # revisar y limpiar
]
# Estas no agrupan nada porque tienen pocas categorías y todas útiles
cols_no_umbral = [
'checkout_origin',
'checkout_customer_document_id_type'
]
df_encoded = df_final.copy()
# Aplicar agrupación para columnas con umbral
umbral_min = 600
for col in cols_with_umbral:
freqs = df_encoded[col].value_counts()
categorias_validas = freqs[freqs >= umbral_min].index
df_encoded[col] = df_encoded[col].apply(lambda x: x if x in categorias_validas else 'Otros')
# Agrupamos todas para OneHot
onehot_cols = cols_with_umbral + cols_no_umbral
from sklearn.preprocessing import OneHotEncoder
# Aplicar OneHotEncoder
ohe = OneHotEncoder(handle_unknown='ignore', sparse=False, drop='first') #he añadido drop first
df_ohe = pd.DataFrame(
ohe.fit_transform(df_encoded[onehot_cols]),
columns=ohe.get_feature_names_out(onehot_cols),
index=df_encoded.index
)
# Concatenar con el resto del DataFrame (eliminando las columnas categóricas originales)
df_final = pd.concat([df_encoded.drop(columns=onehot_cols), df_ohe], axis=1)
df_final
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\preprocessing\_encoders.py:868: FutureWarning: `sparse` was renamed to `sparse_output` in version 1.2 and will be removed in 1.4. `sparse_output` is ignored unless you leave `sparse` to its default value. warnings.warn(
| total_amount | target | checkout_user_agent_is_mobile | checkout_user_agent_is_tablet | checkout_user_agent_is_pc | checkout_user_agent_is_touch_capable | financing_principal | financing_duration | financing_downpayment_amount | financing_total_interest_amount | ... | checkout_customer_address_region_Comunidad Valenciana | checkout_customer_address_region_Comunidad de Madrid | checkout_customer_address_region_Euskadi | checkout_customer_address_region_Extremadura | checkout_customer_address_region_Galicia | checkout_customer_address_region_Illes Balears | checkout_customer_address_region_Otros | checkout_customer_address_region_Región de Murcia | checkout_origin_online | checkout_customer_document_id_type_nif | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 148.27 | performing | False | False | True | False | 118.616000 | 121 | 29.65 | 0.000000 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 1 | 26.77 | performing | True | False | False | True | 19.891289 | 90 | 6.88 | 0.744844 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 2 | 155.99 | performing | True | False | False | True | 133.705714 | 182 | 22.28 | 0.000000 | ... | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 3 | 189.00 | performing | True | False | False | True | 170.100000 | 274 | 18.90 | 0.000000 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 4 | 482.79 | performing | True | False | False | True | 442.236802 | 361 | 40.55 | 44.401573 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 26722 | 2244.85 | credit_risk | False | False | True | False | 1890.400000 | 487 | 118.15 | 0.000000 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 26723 | 1200.00 | performing | False | True | False | True | 1152.000000 | 731 | 48.00 | 0.000000 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 26724 | 2800.00 | performing | False | False | True | False | 2661.794559 | 731 | 138.21 | 655.136030 | ... | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 26725 | 2684.88 | performing | False | False | True | False | 2556.801394 | 731 | 128.08 | 517.085140 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 |
| 26726 | 1995.00 | performing | False | False | False | False | 1915.200000 | 731 | 79.80 | 0.000000 | ... | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
26726 rows × 97 columns
Feature engeenigring pt2¶
# Finanzas puras
df_final['amount_per_instalment'] = df_final['total_amount'] / df_final['financing_num_instalments']
df_final['interest_rate_x_duration'] = df_final['financing_annual_percentage_rate'] * df_final['financing_duration']
df_final['interest_ratio'] = df_final['financing_total_interest_amount'] / df_final['total_amount']
df_final['downpayment_ratio'] = df_final['financing_downpayment_amount'] / df_final['total_amount']
# Comportamiento temporal
df_final['is_night_time'] = (df_final['created_hour'] < 6).astype(int)
df_final['is_weekend'] = (df_final['created_weekday'] >= 5).astype(int)
df_final['is_end_of_month'] = (df_final['created_day'] > 25).astype(int)
# Tecnología / perfil del usuario
df_final['mobile_and_touch'] = (
df_final['checkout_user_agent_is_mobile'] & df_final['checkout_user_agent_is_touch_capable']
).astype(int)
tech_cols = [
'checkout_user_agent_is_mobile',
'checkout_user_agent_is_tablet',
'checkout_user_agent_is_pc',
'checkout_user_agent_is_touch_capable'
]
df_final['num_tech_flags'] = df_final[tech_cols].sum(axis=1)
df_final.head()
| total_amount | target | checkout_user_agent_is_mobile | checkout_user_agent_is_tablet | checkout_user_agent_is_pc | checkout_user_agent_is_touch_capable | financing_principal | financing_duration | financing_downpayment_amount | financing_total_interest_amount | ... | checkout_customer_document_id_type_nif | amount_per_instalment | interest_rate_x_duration | interest_ratio | downpayment_ratio | is_night_time | is_weekend | is_end_of_month | mobile_and_touch | num_tech_flags | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 148.27 | performing | False | False | True | False | 118.616000 | 121 | 29.65 | 0.000000 | ... | 1.0 | 37.067500 | 0.000000 | 0.000000 | 0.199973 | 0 | 1 | 0 | 0 | 1 |
| 1 | 26.77 | performing | True | False | False | True | 19.891289 | 90 | 6.88 | 0.744844 | ... | 1.0 | 8.923333 | 2205.000000 | 0.027824 | 0.257004 | 0 | 1 | 0 | 1 | 2 |
| 2 | 155.99 | performing | True | False | False | True | 133.705714 | 182 | 22.28 | 0.000000 | ... | 1.0 | 25.998333 | 0.000000 | 0.000000 | 0.142830 | 0 | 1 | 0 | 1 | 2 |
| 3 | 189.00 | performing | True | False | False | True | 170.100000 | 274 | 18.90 | 0.000000 | ... | 1.0 | 21.000000 | 0.000000 | 0.000000 | 0.100000 | 0 | 1 | 0 | 1 | 2 |
| 4 | 482.79 | performing | True | False | False | True | 442.236802 | 361 | 40.55 | 44.401573 | ... | 1.0 | 40.232500 | 7220.000001 | 0.091969 | 0.083991 | 0 | 1 | 0 | 1 | 2 |
5 rows × 106 columns
# Crear nuevas columnas sobre df_final
df_final['interest_to_principal_ratio'] = df_final['financing_total_interest_amount'] / df_final['financing_principal']
df_final['downpayment_percent'] = df_final['financing_downpayment_amount'] / df_final['financing_principal']
df_final['monthly_instalment_est'] = df_final['financing_principal'] / df_final['financing_duration']
# Temporal: comportamiento según hora o día
df_final['is_weekend'] = df_final['created_weekday'].apply(lambda x: 1 if x in [5, 6] else 0)
df_final['is_night'] = df_final['created_hour'].apply(lambda x: 1 if (x >= 0 and x < 6) else 0)
# Interacciones con tipo de dispositivo y sistema operativo
df_final['mobile_ios'] = df_final['checkout_user_agent_is_mobile'] * df_final['checkout_user_agent_os_family_ios']
# Región + marca del dispositivo
df_final['region_cat_samsung'] = df_final['checkout_customer_address_region_Catalunya'] * df_final['checkout_user_agent_device_brand_Samsung']
df_final['is_large_principal'] = (df_final['financing_principal'] > 1000).astype(int)
df_final['is_long_duration'] = (df_final['financing_duration'] > 365).astype(int)
df_final['touch_and_high_downpayment'] = (
df_final['checkout_user_agent_is_touch_capable'] & (df_final['financing_downpayment_amount'] > 100)
).astype(int)
df_final['efficiency_ratio'] = df_final['financing_principal'] / (df_final['financing_total_interest_amount'] + 1)
# Proporción entre total pagado en cuotas y el capital original
df_final['instalment_amount_vs_total'] = (
df_final['financing_instalment_amount'] * df_final['financing_duration']
) / (df_final['financing_principal'] + 1e-6)
# Tasa de interés total prorrateada por duración del préstamo
df_final['effective_interest_rate'] = (
df_final['financing_total_interest_amount'] / (df_final['financing_duration'] + 1)
)
# Relación entre intereses pagados y el capital financiado
df_final['overpaid_interest_ratio'] = (
df_final['financing_total_interest_amount'] / (df_final['financing_principal'] + 1e-6)
)
# Combinación sospechosa: marca Samsung + región Otros
df_final['device_region_mismatch'] = (
df_final['checkout_customer_address_region_Otros'] * df_final['checkout_user_agent_device_brand_Samsung']
)
# Cuotas inusualmente largas (> 36 meses)
df_final['unusual_instalment_length'] = (df_final['financing_duration'] > 36).astype(int)
# Relación entre cuota mensual y entrada inicial
df_final['instalment_vs_downpayment'] = (
df_final['financing_instalment_amount'] / (df_final['financing_downpayment_amount'] + 1)
)
# Transacciones nocturnas en fin de semana (potencial riesgo)
df_final['weekday_vs_time_mismatch'] = (
((df_final['created_weekday'] >= 5) & (df_final['created_hour'] < 8)) |
((df_final['created_weekday'] >= 5) & (df_final['created_hour'] > 22))
).astype(int)
# Crear variable total_amount
df_final['total_amount'] = df_final['financing_principal'] + df_final['financing_downpayment_amount']
# Calcular percentiles
high_amount_threshold = df_final['total_amount'].quantile(0.75)
low_downpayment_threshold = df_final['downpayment_percent'].quantile(0.25)
# Crear nueva variable binaria
df_final['high_amount_low_downpayment'] = (
(df_final['total_amount'] >= high_amount_threshold) &
(df_final['downpayment_percent'] <= low_downpayment_threshold)
).astype(int)
df_final.columns.tolist()
Columnas constantes sin variabilidad: ['is_large_amount', 'mobile_and_high_amount']
Comprobacion¶
import os
# Ruta de destino
ruta = r"C:\Users\kevin.vargas\Desktop\ds_kevin_vargas\1_anomalias\Data"
# Guardar df_final como CSV
df_final.to_csv(os.path.join(ruta, "df_final.csv"), index=False)
print("✅ df_final guardado correctamente.")
✅ df_final guardado correctamente.
from sklearn.feature_selection import VarianceThreshold
# 1. Preparamos el DataFrame sin la columna target
X = df_final.drop(columns=['target'])
# 2. Aplicamos VarianceThreshold con un umbral pequeño (ej: 0.01)
selector = VarianceThreshold(threshold=0.01)
selector.fit(X)
# 3. Detectamos columnas eliminadas
low_variance_cols = X.columns[~selector.get_support()]
print("🔎 Columnas con varianza baja (< 0.01):")
print(low_variance_cols.tolist())
🔎 Columnas con varianza baja (< 0.01): ['financing_daily_interest_per_cent', 'checkout_origin_online', 'interest_ratio', 'interest_to_principal_ratio', 'effective_interest_rate', 'overpaid_interest_ratio']
import pandas as pd
import statsmodels.api as sm
from statsmodels.stats.outliers_influence import variance_inflation_factor
# Filtramos solo columnas numéricas, excluyendo el target
X_numeric = df_final.drop(columns=["target"]).select_dtypes(include=["number"])
# Añadimos constante
X_with_const = sm.add_constant(X_numeric)
# Calculamos el VIF
vif_data = pd.DataFrame()
vif_data["Variable"] = X_numeric.columns
vif_data["VIF"] = [variance_inflation_factor(X_with_const.values, i+1)
for i in range(X_numeric.shape[1])] # +1 por la constante
# Mostramos las variables con VIF alto (>10 es problemático habitualmente)
print(vif_data.sort_values(by="VIF", ascending=False))
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
Variable VIF 44 merchant_activity_code_23 inf 30 merchant_activity_name_Moda y Complementos inf 27 merchant_activity_name_Hogar y Decoración inf 26 merchant_activity_name_Fashion and Accessories inf 25 merchant_activity_name_Educación y Formación inf .. ... ... 62 checkout_customer_address_region_Aragón 1.131394 69 checkout_customer_address_region_Euskadi 1.130375 72 checkout_customer_address_region_Región de Murcia 1.116262 74 checkout_customer_document_id_type_nif 1.062647 73 checkout_origin_online 1.056827 [102 rows x 2 columns]
def eliminar_multicolineales(df, threshold=30):
import statsmodels.api as sm
from statsmodels.stats.outliers_influence import variance_inflation_factor
df = df.copy()
iteration = 1
while True:
X = sm.add_constant(df)
vif = pd.Series(
[variance_inflation_factor(X.values, i + 1) for i in range(df.shape[1])],
index=df.columns
)
max_vif = vif.max()
if max_vif > threshold:
feature_to_drop = vif.idxmax()
print(f"[{iteration}] Eliminando '{feature_to_drop}' con VIF={max_vif:.2f}")
df = df.drop(columns=[feature_to_drop])
iteration += 1
else:
break
return df, vif
#¿ como las elimino de mi df prinicipal?
# # Paso 1: Sacar solo variables numéricas
X_numeric = df_final.drop(columns=["target"]).select_dtypes(include=["number"])
# Paso 2: Ejecutar la función de limpieza por VIF
X_numeric_limpio, vif_final = eliminar_multicolineales(X_numeric, threshold=10)
# Paso 3: Identificar las columnas eliminadas
columnas_eliminadas = list(set(X_numeric.columns) - set(X_numeric_limpio.columns))
# Paso 4: Eliminar esas columnas de df_final
df_final = df_final.drop(columns=columnas_eliminadas)
# Ahora df_final ya no tiene variables multicolineales
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
[1] Eliminando 'checkout_user_agent_device_model_Smartphone' con VIF=inf
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
[2] Eliminando 'checkout_user_agent_device_model_unknown' con VIF=inf
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
[3] Eliminando 'checkout_user_agent_device_family_unknown' con VIF=inf
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
[4] Eliminando 'merchant_activity_name_Deportes' con VIF=inf
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
[5] Eliminando 'merchant_activity_name_Educación y Formación' con VIF=inf
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
[6] Eliminando 'merchant_activity_name_Fashion and Accessories' con VIF=inf
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
[7] Eliminando 'merchant_activity_name_Hogar y Decoración' con VIF=inf
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
[8] Eliminando 'checkout_user_agent_os_family_unknown' con VIF=inf
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
[9] Eliminando 'checkout_user_agent_device_brand_unknown' con VIF=inf
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\statsmodels\stats\outliers_influence.py:195: RuntimeWarning: divide by zero encountered in scalar divide vif = 1. / (1. - r_squared_i)
[10] Eliminando 'is_night_time' con VIF=inf [11] Eliminando 'interest_to_principal_ratio' con VIF=18843513085232.20 [12] Eliminando 'checkout_user_agent_os_family_ios' con VIF=4678.29 [13] Eliminando 'checkout_user_agent_os_family_android' con VIF=846.82 [14] Eliminando 'num_tech_flags' con VIF=360.12 [15] Eliminando 'checkout_user_agent_device_brand_Generic' con VIF=254.33 [16] Eliminando 'checkout_user_agent_device_family_ipad' con VIF=120.72 [17] Eliminando 'overpaid_interest_ratio' con VIF=99.66 [18] Eliminando 'mobile_ios' con VIF=82.71 [19] Eliminando 'financing_instalment_amount' con VIF=75.55 [20] Eliminando 'interest_rate_x_duration' con VIF=30.95 [21] Eliminando 'financing_principal' con VIF=27.98 [22] Eliminando 'mobile_and_touch' con VIF=27.40 [23] Eliminando 'merchant_id_Otros' con VIF=16.35 [24] Eliminando 'effective_interest_rate' con VIF=14.52 [25] Eliminando 'merchant_activity_code_9' con VIF=13.72 [26] Eliminando 'merchant_activity_name_Otros' con VIF=13.11 [27] Eliminando 'instalment_amount_vs_total' con VIF=10.52 [28] Eliminando 'checkout_user_agent_device_brand_Samsung' con VIF=10.02
Columnas a eliminar pt 2¶
columnas_a_eliminar = ['financing_daily_interest_per_cent', 'checkout_user_agent_device_family_other']
df_final = df_final.drop(columns=columnas_a_eliminar)
df_final = df_final.drop(columns='checkout_user_agent_device_model_Otros')
df_final = df_final.drop(columns='checkout_user_agent_device_brand_Apple')
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# Asumiendo que ya tienes cargado df_final
# Lista de columnas con VIF alto que quieres estudiar
cols_vif_alto = [
'financing_num_instalments',
'financing_duration',
'total_amount',
'financing_principal',
]
# Matriz de correlación
corr_matrix = df_final[cols_vif_alto].corr()
# Mostrar visualización
plt.figure(figsize=(10, 8))
sns.heatmap(corr_matrix, annot=True, cmap='coolwarm', fmt=".2f", square=True)
plt.title("🔍 Matriz de correlación entre variables con VIF alto")
plt.tight_layout()
plt.show()
C:\Users\kevin.vargas\AppData\Local\Temp\ipykernel_20872\257109747.py:22: UserWarning: Glyph 128269 (\N{LEFT-POINTING MAGNIFYING GLASS}) missing from font(s) DejaVu Sans.
plt.tight_layout()
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\IPython\core\pylabtools.py:152: UserWarning: Glyph 128269 (\N{LEFT-POINTING MAGNIFYING GLASS}) missing from font(s) DejaVu Sans.
fig.canvas.print_figure(bytes_io, **kw)
cols_to_drop = ['financing_num_instalments', 'total_amount']
df_final.drop(columns=cols_to_drop, inplace=True)
cols_to_drop_vif = [
'checkout_user_agent_device_model_iPhone', # modelo suele ser menos informativo que el sistema operativo
'checkout_user_agent_browser_family_Mobile Safari' # también derivado de iOS
]
df_final.drop(columns=cols_to_drop_vif, inplace=True)
Separar en X e Y y aplicar train/test split¶
from sklearn.model_selection import train_test_split
# 1. Separar X e y
X = df_final.drop(columns=['target'])
y = df_final['target']
# 2. Hacer train-test split (80% entrenamiento, 20% test)
# Estratificamos porque target está desbalanceado
X_train, X_test, y_train, y_test = train_test_split(
X, y,
test_size=0.2,
random_state=42,
stratify=y
)
# 3. Comprobamos que todo ha ido bien
print("Distribución en y_train:\n", y_train.value_counts(normalize=True))
print("Distribución en y_test:\n", y_test.value_counts(normalize=True))
print("Shape X_train:", X_train.shape)
print("Shape X_test:", X_test.shape)
X_train
Distribución en y_train: target performing 0.917680 credit_risk 0.074883 fraud_risk 0.007437 Name: proportion, dtype: float64 Distribución en y_test: target performing 0.917695 credit_risk 0.074822 fraud_risk 0.007482 Name: proportion, dtype: float64 Shape X_train: (21380, 87) Shape X_test: (5346, 87)
| checkout_user_agent_is_mobile | checkout_user_agent_is_tablet | checkout_user_agent_is_pc | checkout_user_agent_is_touch_capable | financing_duration | financing_downpayment_amount | financing_total_interest_amount | financing_annual_percentage_rate | financing_customer_fee_tax_rate | customer_age | ... | region_cat_samsung | is_large_principal | is_long_duration | touch_and_high_downpayment | efficiency_ratio | device_region_mismatch | unusual_instalment_length | instalment_vs_downpayment | weekday_vs_time_mismatch | high_amount_low_downpayment | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 24546 | False | False | True | False | 362 | 159.61 | 0.000000 | 0.000005 | 0.0 | 26 | ... | 0.0 | 1 | 0 | 0 | 1915.310769 | 0.0 | 1 | 0.993769 | 0 | 1 |
| 16064 | True | False | False | True | 242 | 63.78 | 39.726132 | 24.500000 | 21.0 | 31 | ... | 0.0 | 0 | 0 | 0 | 11.553908 | 0.0 | 1 | 0.984625 | 0 | 1 |
| 12352 | True | False | False | True | 122 | 35.83 | 6.332492 | 24.500000 | 21.0 | 38 | ... | 0.0 | 0 | 0 | 0 | 18.680349 | 0.0 | 1 | 0.972753 | 0 | 0 |
| 24615 | True | False | False | True | 365 | 9.45 | 0.000000 | 0.000000 | 0.0 | 57 | ... | 0.0 | 0 | 0 | 0 | 113.436923 | 0.0 | 1 | 0.904601 | 0 | 0 |
| 5537 | False | False | False | False | 344 | 69.30 | 27.493384 | 24.500000 | 21.0 | 41 | ... | 0.0 | 0 | 0 | 0 | 8.763484 | 0.0 | 1 | 0.328585 | 0 | 0 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 17347 | True | False | False | True | 122 | 29.36 | 5.257508 | 24.500000 | 0.0 | 29 | ... | 0.0 | 0 | 0 | 0 | 17.929900 | 0.0 | 1 | 0.967177 | 0 | 0 |
| 19481 | False | False | True | False | 87 | 121.85 | 0.000000 | 0.000000 | 21.0 | 25 | ... | 0.0 | 0 | 0 | 0 | 298.022500 | 0.0 | 1 | 0.808635 | 0 | 0 |
| 18125 | False | False | True | False | 152 | 107.14 | 0.000000 | 0.000000 | 0.0 | 47 | ... | 0.0 | 0 | 0 | 0 | 535.716667 | 0.0 | 1 | 0.990784 | 0 | 0 |
| 21030 | True | False | False | True | 212 | 8.28 | 4.034206 | 24.500000 | 21.0 | 44 | ... | 0.0 | 0 | 0 | 0 | 10.714345 | 0.0 | 1 | 0.892433 | 0 | 0 |
| 13947 | False | False | True | False | 120 | 25.92 | 1.487659 | 24.500000 | 21.0 | 24 | ... | 0.0 | 0 | 0 | 0 | 13.296325 | 0.0 | 1 | 0.320992 | 0 | 0 |
21380 rows × 87 columns
Tambien debo aplicar label encoder a mi variable target porque sigue en su forma categorica
from sklearn.preprocessing import LabelEncoder
# Creamos el codificador
le = LabelEncoder()
# Ajustamos y transformamos y_train
y_train_encoded = le.fit_transform(y_train)
# Solo transformamos y_test (no fit)
y_test_encoded = le.transform(y_test)
# Confirmamos cómo se codificaron las clases
print("Clases codificadas:", list(le.classes_))
print("Ejemplo y_train_encoded:", y_train_encoded[:5])
y_train_encoded
Clases codificadas: ['credit_risk', 'fraud_risk', 'performing'] Ejemplo y_train_encoded: [2 1 2 2 2]
array([2, 1, 2, ..., 2, 2, 2])
Explicación¶
¿Qué es Target Encoding? Target Encoding (también llamado Mean Encoding) es una técnica que convierte una variable categórica en una variable numérica continua, calculando:
- El promedio de la variable objetivo (target) para cada categoría.
Ventajas del Target Encoding
Ideal para columnas con muchas categorías (merchant_id, device_model, etc.)
Reduce el número de columnas
Puede mejorar rendimiento en árboles o boosting
¿Por qué necesito usar Target Encoder en estas columnas que nos quedan? Porque:
- Estas columnas tienen muchísimas categorías únicas (alta cardinalidad)
Si aplico OneHotEncoder:
Se crearían cientos o miles de columnas
El modelo puede volverse muy lento o sobreajustarse
Y si las elimino, pierdo mucha información útil
¿Qué opciones tengo para aplicar Target Encoding? 🔹 Opción 1: TargetEncoder con category_encoders (más simple)
- Puede introducir data leakage si no realizo el train test split de manera adecuada.
Opción 2: TargetEncoder + Cross-Validation interna (más robusto) Se calcula la media de target usando solo los folds de entrenamiento, para evitar que el modelo “vea” los valores que está tratando de predecir. Es la opción que voy a seguir debido a que es la más robusta gracias a su manera de proceder
Pero ¿Qué es data leakage? Es cuando información del futuro (test set o variable objetivo) se cuela en el entrenamiento del modelo.
El modelo aprende cosas que no debería saber aún. → Esto produce resultados demasiado buenos en entrenamiento, pero fracasan en producción.
Por todas estas razones y para estar seguro del procedimiento que vamos a tomar, la opción elegida es TARGETENCODING + cross validation, por su robustez.
¿Qué hice exactamente? Elegí varias columnas categóricas complejas que tienen demasiados niveles (por ejemplo merchant_id, browser_version, etc.) que no era práctico codificar con One-Hot. Sino hubiese obtenido un dataframe con una cantidad de columnas muy alta.
Por ello aplico TargetEncoder con validación cruzada (K-Fold):
- Para evitar data leakage, no uso todo X_train para codificarlo a sí mismo.
Lo dividimos en 5 partes:
Entreno el encoder con 4/5 partes.
Transformo la 1/5 restante.
Repito para todas las combinaciones.
Luego codifico X_test usando un encoder entrenado en TODO X_train (porque en test sí puedes usar todo el entrenamiento).
Finalmente, elimino las columnas originales categóricas y sustituimos por sus versiones *_te (target encoded).
1.7 Modelado¶
Hay que tener en cuenta a la hora del modelado que en este caso nos enfrentamos a un df con clases desbalanceadas entre performing, fraud risk y credit risk las cuales están codificadas de la siguiente manera: #Performing = 2, #Credit risk = 0, #fraud risk = 1.
Por ello voy a seguir dos técnicas a la hora de hacer que estén balanceadas: SMOTE y class_weigth = 'balanced' (este ultimo presente en randomforest). La técnica será la siguiente:
- Aplicar unicamente class_weigth y observar que métricas obtenemos
- Aplicar SMOTE y class_weigth a la vez pero concretamente cuando apliquemos SMOTE lo que haremos será crear de manera sintetica esos datos de las clases desbalanceadas gracias a sampling_strategy, pero que sigan manteniendose por debajo de la clase predominante que es performing, de esta manera nos aseguramos que class_weigth siga funcionando y tener un modelo robusto.
PCA¶
# PCA sobre datos originales sin balancear
from sklearn.decomposition import PCA
pca_original = PCA(n_components=2, random_state=42)
X_pca_original = pca_original.fit_transform(X_train)
# DataFrame para graficar
df_pca_original = pd.DataFrame(X_pca_original, columns=["PC1", "PC2"])
df_pca_original["Clase"] = pd.Series(y_train_encoded).map({0: "Credit Risk", 1: "Fraud Risk", 2: "Performing"})
# Gráfico
plt.figure(figsize=(10, 8))
sns.scatterplot(data=df_pca_original, x="PC1", y="PC2", hue="Clase", palette="Set2", alpha=0.6)
plt.title(" PCA sin Rebalanceo")
plt.grid(True)
plt.show()
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\IPython\core\pylabtools.py:152: UserWarning: Glyph 128269 (\N{LEFT-POINTING MAGNIFYING GLASS}) missing from font(s) DejaVu Sans.
fig.canvas.print_figure(bytes_io, **kw)
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
from imblearn.combine import SMOTETomek
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
# 2. Copia de X_train y y_train_encoded
X_visual = X_train.copy()
y_visual = y_train_encoded.copy()
# 3. Rebalanceo SOLO para visualización
smt_vis = SMOTETomek(sampling_strategy="auto", random_state=42)
X_vis_resampled, y_vis_resampled = smt_vis.fit_resample(X_visual, y_visual)
# 4. Escalado antes del PCA
# ==============================
scaler = StandardScaler()
X_vis_scaled = scaler.fit_transform(X_vis_resampled)
# ==============================
# 5. PCA sobre los datos rebalanceados escalados
pca = PCA(n_components=2, random_state=42)
X_pca = pca.fit_transform(X_vis_scaled)
# 6. Crear DataFrame para graficar
# ==============================
df_pca = pd.DataFrame(X_pca, columns=["PC1", "PC2"])
df_pca["Clase"] = pd.Series(y_vis_resampled).map({
0: "Credit Risk",
1: "Fraud Risk",
2: "Performing"
})
# ==============================
# 7. Gráfico con seaborn
plt.figure(figsize=(10, 8))
sns.scatterplot(data=df_pca, x="PC1", y="PC2", hue="Clase", palette="Set1", alpha=0.6)
plt.title("PCA con Rebalanceo (StandardScaler aplicado)")
plt.grid(True)
plt.show()
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\IPython\core\pylabtools.py:152: UserWarning: Glyph 128269 (\N{LEFT-POINTING MAGNIFYING GLASS}) missing from font(s) DejaVu Sans.
fig.canvas.print_figure(bytes_io, **kw)
from imblearn.combine import SMOTETomek
from sklearn.preprocessing import StandardScaler
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import umap
import numpy as np
# 2. Copia de X_train y y_train_encoded
X_visual = X_train.copy()
y_visual = y_train_encoded.copy()
# 3. Rebalanceo SOLO para visualización
smt_vis = SMOTETomek(sampling_strategy="auto", random_state=42)
X_vis_resampled, y_vis_resampled = smt_vis.fit_resample(X_visual, y_visual)
# 4. Escalado de datos
scaler = StandardScaler()
X_scaled = scaler.fit_transform(X_vis_resampled)
# 5. Aplicar UMAP
umap_model = umap.UMAP(n_components=2, random_state=42)
X_umap = umap_model.fit_transform(X_scaled)
# 6. Crear DataFrame para graficar
df_umap = pd.DataFrame(X_umap, columns=["UMAP1", "UMAP2"])
df_umap["Clase"] = pd.Series(y_vis_resampled).map({
0: "Credit Risk",
1: "Fraud Risk",
2: "Performing"
})
# 7. Gráfico con seaborn
plt.figure(figsize=(10, 8))
sns.scatterplot(data=df_umap, x="UMAP1", y="UMAP2", hue="Clase", palette="Set1", alpha=0.6)
plt.title("UMAP con Rebalanceo (StandardScaler aplicado)")
plt.grid(True)
plt.show()
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\tqdm\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
from .autonotebook import tqdm as notebook_tqdm
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\umap\umap_.py:1952: UserWarning: n_jobs value 1 overridden to 1 by setting random_state. Use no seed for parallelism.
warn(
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\IPython\core\pylabtools.py:152: UserWarning: Glyph 128269 (\N{LEFT-POINTING MAGNIFYING GLASS}) missing from font(s) DejaVu Sans.
fig.canvas.print_figure(bytes_io, **kw)
Clustering¶
Kmeans¶
import pandas as pd
from sklearn.preprocessing import StandardScaler
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
import seaborn as sns
# 1. Copiar DataFrame y separar target
df_cluster = df_final.copy()
target = df_cluster.pop('target') # Guardamos target para comparar visualmente
# 2. Escalar los datos
scaler = StandardScaler()
X_scaled = scaler.fit_transform(df_cluster)
# 3. Aplicar KMeans con k=3 (esperamos algo parecido a Performing, Credit, Fraud)
kmeans = KMeans(n_clusters=3, random_state=42)
cluster_labels = kmeans.fit_predict(X_scaled)
# 4. Añadir etiquetas al DataFrame original
df_cluster['cluster'] = cluster_labels
df_cluster['target'] = target
# 5. PCA para visualización 2D
pca = PCA(n_components=2)
X_pca = pca.fit_transform(X_scaled)
df_cluster['PC1'] = X_pca[:, 0]
df_cluster['PC2'] = X_pca[:, 1]
# 6. Visualizar: colores por cluster y por clase real
plt.figure(figsize=(10, 6))
sns.scatterplot(data=df_cluster, x='PC1', y='PC2', hue='cluster', palette='Set2')
plt.title("KMeans Clusters (sin usar target)")
plt.show()
plt.figure(figsize=(10, 6))
sns.scatterplot(data=df_cluster, x='PC1', y='PC2', hue='target', palette='Set1')
plt.title("Distribución real de clases sobre espacio PCA")
plt.show()
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\cluster\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning warnings.warn(
DBSCAN¶
from sklearn.cluster import DBSCAN
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
import seaborn as sns
# 1. Copiamos de nuevo el DataFrame y separamos el target
df_cluster = df_final.copy()
target = df_cluster.pop('target')
# 2. Escalamos los datos
scaler = StandardScaler()
X_scaled = scaler.fit_transform(df_cluster)
# 3. Aplicamos DBSCAN
dbscan = DBSCAN(eps=1.5, min_samples=10)
cluster_labels = dbscan.fit_predict(X_scaled)
# 4. Agregar resultados al DataFrame
df_cluster['cluster'] = cluster_labels
df_cluster['target'] = target
# 5. PCA para visualización
pca = PCA(n_components=2)
X_pca = pca.fit_transform(X_scaled)
df_cluster['PC1'] = X_pca[:, 0]
df_cluster['PC2'] = X_pca[:, 1]
# 6. Visualizar clusters DBSCAN
plt.figure(figsize=(10, 6))
sns.scatterplot(data=df_cluster, x='PC1', y='PC2', hue='cluster', palette='tab10', legend='full')
plt.title("Clusters DBSCAN (incluyendo outliers como -1)")
plt.show()
# 7. Visualizar clases reales
plt.figure(figsize=(10, 6))
sns.scatterplot(data=df_cluster, x='PC1', y='PC2', hue='target', palette='Set1')
plt.title("Distribución real de clases sobre espacio PCA (con DBSCAN aplicado)")
plt.show()
Regresión logística¶
Nuevo intento¶
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay, classification_report
import matplotlib.pyplot as plt
# 1. Escalado de X solo para este modelo
scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
X_test_scaled = scaler.transform(X_test)
# 2. Entrenar modelo
lr_model = LogisticRegression(max_iter=1000, class_weight='balanced', random_state=42)
lr_model.fit(X_train_scaled, y_train_encoded)
# 3. Predicción
y_pred_lr1 = lr_model.predict(X_test_scaled)
# 4. Reporte de clasificación
print("Reporte de clasificación - Logistic Regression:\n")
print(classification_report(y_test_encoded, y_pred_lr1, target_names=le.classes_))
# 5. Matriz de confusión
cm = confusion_matrix(y_test_encoded, y_pred_lr1)
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=le.classes_)
disp.plot(cmap='Blues')
plt.title('Matriz de Confusión - Logistic Regression')
plt.show()
# 5. Matriz de confusión
cm = confusion_matrix(y_test_encoded, y_pred_lr1)
# Mostramos sin graficar
print("Matriz de confusión (cruda):\n", cm)
Reporte de clasificación - Logistic Regression:
precision recall f1-score support
credit_risk 0.12 0.38 0.18 400
fraud_risk 0.02 0.55 0.04 40
performing 0.95 0.60 0.74 4906
accuracy 0.58 5346
macro avg 0.37 0.51 0.32 5346
weighted avg 0.89 0.58 0.69 5346
Matriz de confusión (cruda): [[ 152 116 132] [ 10 22 8] [1095 877 2934]]
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
from imblearn.over_sampling import SMOTE
import matplotlib.pyplot as plt
# 1. Escalar los datos (es importante antes de SMOTE y para LogisticRegression)
scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
X_test_scaled = scaler.transform(X_test)
# 2. Aplicar SMOTE al conjunto de entrenamiento
sm = SMOTE(random_state=42)
X_train_smote, y_train_smote = sm.fit_resample(X_train_scaled, y_train_encoded)
# 3. Entrenar modelo LogisticRegression
model = LogisticRegression(max_iter=1000, random_state=42)
model.fit(X_train_smote, y_train_smote)
# 4. Predecir
y_pred_lr2 = model.predict(X_test_scaled)
# 5. Matriz de confusión
cm = confusion_matrix(y_test_encoded, y_pred_lr2)
print("Matriz de confusión (normal):")
print(cm)
# 6. Mostrar gráfica
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=le.classes_)
disp.plot(cmap="Blues")
plt.title("Matriz de Confusión - Logistic Regression con SMOTE")
plt.show()
# 7. Reporte de clasificación
print("Reporte de clasificación:")
print(classification_report(y_test_encoded, y_pred_lr2, target_names=le.classes_))
Matriz de confusión (normal): [[ 163 104 133] [ 9 21 10] [1159 800 2947]]
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\linear_model\_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):
STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
Increase the number of iterations (max_iter) or scale the data as shown in:
https://scikit-learn.org/stable/modules/preprocessing.html
Please also refer to the documentation for alternative solver options:
https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
n_iter_i = _check_optimize_result(
Reporte de clasificación:
precision recall f1-score support
credit_risk 0.12 0.41 0.19 400
fraud_risk 0.02 0.53 0.04 40
performing 0.95 0.60 0.74 4906
accuracy 0.59 5346
macro avg 0.37 0.51 0.32 5346
weighted avg 0.88 0.59 0.69 5346
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
import matplotlib.pyplot as plt
# 1. Escalado
scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
X_test_scaled = scaler.transform(X_test)
# 2. Definir pesos personalizados
class_weights = {
0: 10, # credit_risk
1: 80, # fraud_risk
2: 1 # performing
}
# 3. Entrenar modelo con class_weight personalizado
model = LogisticRegression(class_weight=class_weights, max_iter=1000, random_state=42)
model.fit(X_train_scaled, y_train_encoded)
# 4. Predicciones
y_pred_lr3 = model.predict(X_test_scaled)
# 5. Reporte
print("Reporte de clasificación (class_weight personalizado):")
print(classification_report(y_test_encoded, y_pred_lr3, target_names=le.classes_))
# 6. Matriz de confusión numérica
cm = confusion_matrix(y_test_encoded, y_pred_lr3)
print("Matriz de confusión:")
print(cm)
# 7. Matriz de confusión gráfica
disp = ConfusionMatrixDisplay(confusion_matrix=cm, display_labels=le.classes_)
disp.plot(cmap='Blues')
Reporte de clasificación (class_weight personalizado):
precision recall f1-score support
credit_risk 0.14 0.36 0.20 400
fraud_risk 0.03 0.47 0.05 40
performing 0.95 0.70 0.81 4906
accuracy 0.67 5346
macro avg 0.37 0.51 0.35 5346
weighted avg 0.88 0.67 0.76 5346
Matriz de confusión:
[[ 145 88 167]
[ 10 19 11]
[ 869 602 3435]]
<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x2a1a60042e0>
Random Forest¶
Nuevo intento¶
from imblearn.under_sampling import RandomUnderSampler
from imblearn.combine import SMOTETomek
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
import matplotlib.pyplot as plt
from collections import Counter
# 1. Undersampling para reducir clase mayoritaria (2: performing)
rus = RandomUnderSampler(sampling_strategy={2: 3000}, random_state=42)
X_down, y_down = rus.fit_resample(X_train, y_train_encoded)
print(" Distribución tras undersampling:", Counter(y_down))
# 2. SMOTETomek para oversampling + limpieza
smt = SMOTETomek(sampling_strategy={0: 1800, 1: 1800}, random_state=42)
X_train_resampled, y_train_resampled = smt.fit_resample(X_down, y_down)
print(" Distribución tras SMOTE+Tomek:", Counter(y_train_resampled))
# 3. class_weight personalizado
custom_class_weight = {
0: 10, # Credit Risk
1: 40, # Fraud Risk
2: 5 # Performing (menos porque ya tiene menos presencia)
}
# 4. Definir modelo y grid
rf = RandomForestClassifier(
class_weight=custom_class_weight,
random_state=42,
n_jobs=-1
)
param_grid = {
'n_estimators': [200],
'max_depth': [10],
'min_samples_split': [5]
}
grid_search = GridSearchCV(
estimator=rf,
param_grid=param_grid,
scoring='recall_macro',
cv=5,
verbose=2,
n_jobs=-1
)
# 5. Entrenar el modelo
grid_search.fit(X_train_resampled, y_train_resampled)
# 6. Predecir y evaluar
y_pred_rf1 = grid_search.predict(X_test)
print(" Mejores parámetros encontrados:", grid_search.best_params_)
print("\n Matriz de confusión:")
print(confusion_matrix(y_test_encoded, y_pred_rf1))
print("\n Reporte de clasificación:")
print(classification_report(y_test_encoded, y_pred_rf1, target_names=le.classes_))
# 7. Matriz de confusión visual
ConfusionMatrixDisplay.from_estimator(grid_search.best_estimator_, X_test, y_test_encoded, display_labels=le.classes_, cmap="Blues")
plt.title("Matriz de Confusión - Random Forest (SMOTE + Undersampling + ClassWeight)")
plt.show()
📉 Distribución tras undersampling: Counter({2: 3000, 0: 1601, 1: 159})
📈 Distribución tras SMOTE+Tomek: Counter({2: 2598, 1: 1771, 0: 1401})
Fitting 5 folds for each of 1 candidates, totalling 5 fits
✅ Mejores parámetros encontrados: {'max_depth': 10, 'min_samples_split': 5, 'n_estimators': 200}
📊 Matriz de confusión:
[[ 73 144 183]
[ 9 23 8]
[ 396 1183 3327]]
📄 Reporte de clasificación:
precision recall f1-score support
credit_risk 0.15 0.18 0.17 400
fraud_risk 0.02 0.57 0.03 40
performing 0.95 0.68 0.79 4906
accuracy 0.64 5346
macro avg 0.37 0.48 0.33 5346
weighted avg 0.88 0.64 0.74 5346
from imblearn.under_sampling import RandomUnderSampler
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
from sklearn.utils import resample
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from collections import Counter
# FUNCIONES AUXILIARES
def generate_synthetic_data(X_real, y_real, target_class, n_samples):
"""
Simula generación de datos sintéticos para una clase específica (como haría un GAN).
"""
X_class = X_real[y_real == target_class]
X_syn = resample(X_class, replace=True, n_samples=n_samples, random_state=42)
y_syn = np.array([target_class] * n_samples)
return X_syn, y_syn
# DATOS REALES DE PARTIDA: X_train, y_train_encoded, X_test, y_test_encoded
# 1. Undersampling de clase 2 (performing)
rus = RandomUnderSampler(sampling_strategy={2: 19000}, random_state=42)
X_down, y_down = rus.fit_resample(X_train, y_train_encoded)
print(" Después de undersampling:", Counter(y_down))
# 2. Data augmentation sintético para clases 0 y 1 (simulación GAN)
X_syn_0, y_syn_0 = generate_synthetic_data(X_down, y_down, target_class=0, n_samples=19000)
X_syn_1, y_syn_1 = generate_synthetic_data(X_down, y_down, target_class=1, n_samples=19000)
X_train_aug = pd.concat([X_down, X_syn_0, X_syn_1], axis=0)
y_train_aug = np.concatenate([y_down, y_syn_0, y_syn_1])
print(" Después de GAN-like augmentation (train):", Counter(y_train_aug))
# 3. Augmentamos también el test SOLO para validación
X_val = X_test.copy()
y_val = y_test_encoded.copy()
X_val_0, y_val_0 = generate_synthetic_data(X_val, y_val, target_class=0, n_samples=3700)
X_val_1, y_val_1 = generate_synthetic_data(X_val, y_val, target_class=1, n_samples=3000)
X_val_aug = pd.concat([X_val, X_val_0, X_val_1], axis=0)
y_val_aug = np.concatenate([y_val, y_val_0, y_val_1])
print(" Después de GAN-like augmentation (val):", Counter(y_val_aug))
# 4. Modelo con class_weight
custom_weights = {0: 100, 1: 200, 2: 45}
rf = RandomForestClassifier(class_weight= custom_weights, random_state=42, n_jobs=-1)
param_grid = {
'n_estimators': [200],
'max_depth': [10],
'min_samples_split': [5]
}
grid = GridSearchCV(rf, param_grid, scoring='recall_macro', cv=5, n_jobs=-1)
grid.fit(X_train_aug, y_train_aug)
# 5. Evaluación
y_pred = grid.predict(X_val_aug)
print(" Mejores parámetros:", grid.best_params_)
print("\n Matriz de Confusión:")
print(confusion_matrix(y_val_aug, y_pred))
print("\n Reporte de Clasificación:")
print(classification_report(y_val_aug, y_pred, target_names=le.classes_))
ConfusionMatrixDisplay.from_estimator(grid.best_estimator_, X_val_aug, y_val_aug, display_labels=le.classes_, cmap="Blues")
plt.title("Matriz de Confusión - Random Forest con GAN (validación rebalanceada)")
plt.show()
📉 Después de undersampling: Counter({2: 19000, 0: 1601, 1: 159})
📈 Después de GAN-like augmentation (train): Counter({0: 20601, 1: 19159, 2: 19000})
📊 Después de GAN-like augmentation (val): Counter({2: 4906, 0: 4100, 1: 3040})
✅ Mejores parámetros: {'max_depth': 10, 'min_samples_split': 5, 'n_estimators': 200}
📊 Matriz de Confusión:
[[2525 1005 570]
[1426 1395 219]
[2672 752 1482]]
📄 Reporte de Clasificación:
precision recall f1-score support
credit_risk 0.38 0.62 0.47 4100
fraud_risk 0.44 0.46 0.45 3040
performing 0.65 0.30 0.41 4906
accuracy 0.45 12046
macro avg 0.49 0.46 0.44 12046
weighted avg 0.51 0.45 0.44 12046
from imblearn.under_sampling import RandomUnderSampler
from imblearn.combine import SMOTETomek
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import GridSearchCV, StratifiedKFold
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
import matplotlib.pyplot as plt
from collections import Counter
# 1. Undersampling para reducir clase mayoritaria (2: performing)
rus = RandomUnderSampler(sampling_strategy={2: 14000}, random_state=42)
X_down, y_down = rus.fit_resample(X_train, y_train_encoded)
print(" Distribución tras undersampling:", Counter(y_down))
# 2. SMOTETomek para oversampling + limpieza
smt = SMOTETomek(sampling_strategy={0: 14000, 1: 14000}, random_state=42)
X_train_resampled, y_train_resampled = smt.fit_resample(X_down, y_down)
print(" Distribución tras SMOTE+Tomek:", Counter(y_train_resampled))
# 3. class_weight personalizado
custom_class_weight = {
0: 10, # Credit Risk
1: 40, # Fraud Risk
2: 2 # Performing
}
# 4. Definir modelo
rf = RandomForestClassifier(
class_weight=custom_class_weight,
random_state=42,
n_jobs=-1
)
# 5. Definir grid y StratifiedKFold
param_grid = {
'n_estimators': [200],
'max_depth': [10],
'min_samples_split': [5]
}
cv_strategy = StratifiedKFold(n_splits=5, shuffle=True, random_state=42)
grid_search = GridSearchCV(
estimator=rf,
param_grid=param_grid,
scoring='recall_macro',
cv=cv_strategy,
verbose=2,
n_jobs=-1
)
# 6. Entrenar modelo
grid_search.fit(X_train_resampled, y_train_resampled)
# 7. Predecir y evaluar
y_pred_rf2 = grid_search.predict(X_test)
print(" Mejores parámetros encontrados:", grid_search.best_params_)
print("\n Matriz de confusión:")
print(confusion_matrix(y_test_encoded, y_pred_rf2))
print("\n Reporte de clasificación:")
print(classification_report(y_test_encoded, y_pred_rf2, target_names=le.classes_))
# 8. Matriz de confusión visual
ConfusionMatrixDisplay.from_estimator(
grid_search.best_estimator_,
X_test,
y_test_encoded,
display_labels=le.classes_,
cmap="Blues"
)
plt.title("Matriz de Confusión - Random Forest (SMOTE + Undersampling+ oversampling + ClassWeight)")
plt.show()
📉 Distribución tras undersampling: Counter({2: 14000, 0: 1601, 1: 159})
📈 Distribución tras SMOTE+Tomek: Counter({1: 13985, 2: 13883, 0: 13880})
Fitting 5 folds for each of 1 candidates, totalling 5 fits
✅ Mejores parámetros encontrados: {'max_depth': 10, 'min_samples_split': 5, 'n_estimators': 200}
📊 Matriz de confusión:
[[ 165 196 39]
[ 7 32 1]
[1861 1836 1209]]
📄 Reporte de clasificación:
precision recall f1-score support
credit_risk 0.08 0.41 0.14 400
fraud_risk 0.02 0.80 0.03 40
performing 0.97 0.25 0.39 4906
accuracy 0.26 5346
macro avg 0.35 0.49 0.19 5346
weighted avg 0.89 0.26 0.37 5346
import numpy as np
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
import matplotlib.pyplot as plt
# Obtener las probabilidades del modelo ajustado
y_proba = grid_search.predict_proba(X_test)
# Índices de clase (ajustar si cambia el orden)
idx_credit = list(le.classes_).index('credit_risk')
idx_fraud = list(le.classes_).index('fraud_risk')
idx_performing = list(le.classes_).index('performing')
# Definir umbrales por clase
threshold_credit = 0.4
threshold_fraud = 0.2
threshold_performing = 0.7
# Aplicar reglas de decisión basadas en probabilidades
y_pred_adjusted_rf = []
for probs in y_proba:
if probs[idx_fraud] >= threshold_fraud:
y_pred_adjusted_rf.append(idx_fraud)
elif probs[idx_credit] >= threshold_credit:
y_pred_adjusted_rf.append(idx_credit)
elif probs[idx_performing] >= threshold_performing:
y_pred_adjusted_rf.append(idx_performing)
else:
# Fallback: asignar clase con mayor probabilidad
y_pred_adjusted_rf.append(np.argmax(probs))
# Evaluar resultados
print("\n Matriz de confusión (con triple umbral):")
print(confusion_matrix(y_test_encoded, y_pred_adjusted_rf))
print("\n Reporte de clasificación (con triple umbral):")
print(classification_report(y_test_encoded, y_pred_adjusted_rf, target_names=le.classes_))
# Mostrar matriz de confusión visualmente
ConfusionMatrixDisplay.from_predictions(
y_test_encoded,
y_pred_adjusted_rf,
display_labels=le.classes_,
cmap="Oranges"
)
plt.title("Matriz de Confusión - Random Forest con Triple Umbral")
plt.show()
📊 Matriz de confusión (con triple umbral):
[[ 94 288 18]
[ 5 34 1]
[1374 2947 585]]
📄 Reporte de clasificación (con triple umbral):
precision recall f1-score support
credit_risk 0.06 0.23 0.10 400
fraud_risk 0.01 0.85 0.02 40
performing 0.97 0.12 0.21 4906
accuracy 0.13 5346
macro avg 0.35 0.40 0.11 5346
weighted avg 0.89 0.13 0.20 5346
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# Obtener el mejor modelo del GridSearch
best_rf = grid_search.best_estimator_
# Extraer importancias
importances = best_rf.feature_importances_
# Crear dataframe con nombres y orden
feature_importance_df = pd.DataFrame({
'Feature': X_test.columns,
'Importance': importances
}).sort_values(by='Importance', ascending=False)
# Mostrar top 15
plt.figure(figsize=(10, 6))
sns.barplot(data=feature_importance_df.head(15), x='Importance', y='Feature', palette='viridis')
plt.title(' Importancia de variables según Random Forest')
plt.tight_layout()
plt.show()
C:\Users\kevin.vargas\AppData\Local\Temp\ipykernel_20872\1505608289.py:19: FutureWarning:
Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.
sns.barplot(data=feature_importance_df.head(15), x='Importance', y='Feature', palette='viridis')
C:\Users\kevin.vargas\AppData\Local\Temp\ipykernel_20872\1505608289.py:21: UserWarning: Glyph 128269 (\N{LEFT-POINTING MAGNIFYING GLASS}) missing from font(s) DejaVu Sans.
plt.tight_layout()
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\IPython\core\pylabtools.py:152: UserWarning: Glyph 128269 (\N{LEFT-POINTING MAGNIFYING GLASS}) missing from font(s) DejaVu Sans.
fig.canvas.print_figure(bytes_io, **kw)
import shap
import pandas as pd
# 1. Asegurarse de que X_test es numérico (float)
X_test_float = X_test.astype(float)
# 2. Obtener el mejor modelo
model = grid_search.best_estimator_
# 3. Inicializar el explainer SHAP
explainer = shap.Explainer(model, X_test_float)
shap_values = explainer(X_test_float)
# 4. Gráfico resumen: impacto global de cada variable en predicción de FRAUDE (clase 1)
print(" Variables que más impulsan la predicción de fraude:")
shap.plots.beeswarm(shap_values[..., 1]) # clase 1 = fraud_risk
100%|===================| 16004/16038 [06:26<00:00]
🔍 Variables que más impulsan la predicción de fraude:
import numpy as np
# Cálculo de importancia media absoluta para clase 1 (fraud)
mean_abs_shap = np.abs(shap_values[..., 1].values).mean(axis=0)
shap_summary = pd.DataFrame({
'Feature': X_test.columns,
'Mean |SHAP value|': mean_abs_shap
}).sort_values(by='Mean |SHAP value|', ascending=False)
print("\n Top 15 variables más influyentes para detectar fraude:")
display(shap_summary.head(15))
📊 Top 15 variables más influyentes para detectar fraude:
| Feature | Mean |SHAP value| | |
|---|---|---|
| 16 | merchant_id_513f1c5b8be0415497902ee716840403 | 0.080947 |
| 35 | merchant_activity_code_17 | 0.051757 |
| 70 | interest_ratio | 0.038247 |
| 10 | days_to_first_payment | 0.022483 |
| 6 | financing_total_interest_amount | 0.022308 |
| 25 | merchant_activity_name_Home and Decor | 0.021970 |
| 8 | financing_customer_fee_tax_rate | 0.021249 |
| 4 | financing_duration | 0.020041 |
| 74 | downpayment_percent | 0.018410 |
| 5 | financing_downpayment_amount | 0.015122 |
| 7 | financing_annual_percentage_rate | 0.013930 |
| 11 | created_month | 0.013660 |
| 27 | merchant_activity_name_Moda y Complementos | 0.012801 |
| 64 | checkout_customer_address_region_Illes Balears | 0.012329 |
| 71 | downpayment_ratio | 0.011208 |
XGBOOST¶
import pandas as pd
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.utils.class_weight import compute_class_weight
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import classification_report, confusion_matrix, make_scorer, fbeta_score
from imblearn.under_sampling import RandomUnderSampler
from imblearn.combine import SMOTETomek
from xgboost import XGBClassifier
from collections import Counter
# --- Paso 1: Selección de las 25 mejores features ---
rf_selector = RandomForestClassifier(n_estimators=100, random_state=42, n_jobs=-1)
rf_selector.fit(X_train, y_train_encoded)
importances = rf_selector.feature_importances_
features_df = pd.DataFrame({'Feature': X_train.columns, 'Importance': importances})
features_df = features_df.sort_values(by='Importance', ascending=False)
top_25_features = features_df.head(25)['Feature'].tolist()
X_train_top = X_train[top_25_features]
X_test_top = X_test[top_25_features]
# --- Paso 2: Undersampling (Reducimos Performing) ---
rus = RandomUnderSampler(sampling_strategy={2: 3000}, random_state=42)
X_down, y_down = rus.fit_resample(X_train_top, y_train_encoded)
print("Distribución tras undersampling:", Counter(y_down))
# --- Paso 3: SMOTE + Tomek para ampliar riesgos y limpiar ---
smt = SMOTETomek(sampling_strategy={0: 3600, 1: 5900}, random_state=42)
X_resampled, y_resampled = smt.fit_resample(X_down, y_down)
print(" Distribución tras SMOTE+Tomek:", Counter(y_resampled))
# --- Paso 4: Calcular sample_weight ---
class_weights = compute_class_weight(class_weight='balanced', classes=np.unique(y_resampled), y=y_resampled)
scale_weights = dict(zip(np.unique(y_resampled), class_weights))
print(" sample_weight por clase:", scale_weights)
sample_weights = np.array([scale_weights[label] for label in y_resampled])
# --- Paso 5: Definir modelo y parámetros ---
xgb = XGBClassifier(
objective='multi:softprob',
num_class=3,
eval_metric='mlogloss',
use_label_encoder=False,
random_state=42,
n_jobs=-1
)
param_grid = {
'n_estimators': [100, 200],
'max_depth': [6, 10],
'learning_rate': [0.1, 0.01],
'subsample': [0.8, 1.0],
'colsample_bytree': [0.8, 1.0]
}
# Scoring personalizado: F2 macro (más énfasis en recall)
f2_scorer = make_scorer(fbeta_score, beta=2, average='macro')
grid_search = GridSearchCV(
estimator=xgb,
param_grid=param_grid,
scoring=f2_scorer,
cv=3,
n_jobs=-1,
verbose=2
)
# --- Paso 6: Entrenar ---
grid_search.fit(X_resampled, y_resampled, sample_weight=sample_weights)
# --- Paso 7: Evaluar ---
y_pred_xg1 = grid_search.predict(X_test_top)
print(" Mejores parámetros encontrados:", grid_search.best_params_)
print(" Matriz de confusión:\n", confusion_matrix(y_test_encoded, y_pred_xg1))
print("\n Reporte de clasificación:\n", classification_report(
y_test_encoded, y_pred_xg1,
target_names=['Credit Risk', 'Fraud Risk', 'Performing']
))
📉 Distribución tras undersampling: Counter({2: 3000, 0: 1601, 1: 159})
📈 Distribución tras SMOTE+Tomek: Counter({1: 5882, 0: 3409, 2: 2815})
⚖️ sample_weight por clase: {0: 1.183729343893615, 1: 0.6860478295364388, 2: 1.4335109532267614}
Fitting 3 folds for each of 32 candidates, totalling 96 fits
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\xgboost\core.py:158: UserWarning: [14:09:58] WARNING: C:\b\abs_90_bwj_86a\croot\xgboost-split_1724073762025\work\src\learner.cc:740:
Parameters: { "use_label_encoder" } are not used.
warnings.warn(smsg, UserWarning)
✅ Mejores parámetros encontrados: {'colsample_bytree': 0.8, 'learning_rate': 0.1, 'max_depth': 10, 'n_estimators': 200, 'subsample': 0.8}
📊 Matriz de confusión:
[[ 133 9 258]
[ 19 1 20]
[ 802 48 4056]]
📄 Reporte de clasificación:
precision recall f1-score support
Credit Risk 0.14 0.33 0.20 400
Fraud Risk 0.02 0.03 0.02 40
Performing 0.94 0.83 0.88 4906
accuracy 0.78 5346
macro avg 0.36 0.39 0.36 5346
weighted avg 0.87 0.78 0.82 5346
import pandas as pd
import numpy as np
from xgboost import XGBClassifier
from sklearn.metrics import classification_report, confusion_matrix
from sklearn.utils.class_weight import compute_class_weight
from imblearn.under_sampling import RandomUnderSampler
from imblearn.combine import SMOTETomek
from sklearn.ensemble import RandomForestClassifier
from collections import Counter
# --- Paso 1: Selección de las mejores features (top 25 ya entrenado)
rf_selector = RandomForestClassifier(n_estimators=100, random_state=42, n_jobs=-1)
rf_selector.fit(X_train, y_train_encoded)
importances = rf_selector.feature_importances_
top_25_features = pd.DataFrame({'Feature': X_train.columns, 'Importance': importances}) \
.sort_values(by='Importance', ascending=False) \
.head(25)['Feature'].tolist()
X_train_top = X_train[top_25_features]
X_test_top = X_test[top_25_features]
# --- Paso 2: Rebalanceo (undersampling + SMOTETomek)
rus = RandomUnderSampler(sampling_strategy={2: 8000}, random_state=42)
X_down, y_down = rus.fit_resample(X_train_top, y_train_encoded)
smt = SMOTETomek(sampling_strategy={0: 13600, 1: 15900}, random_state=42)
X_resampled, y_resampled = smt.fit_resample(X_down, y_down)
print(" Distribución final:", Counter(y_resampled))
# --- Paso 3: Calcular sample_weights y scale_pos_weight
class_weights = compute_class_weight(class_weight='balanced', classes=np.unique(y_resampled), y=y_resampled)
scale_weights = dict(zip(np.unique(y_resampled), class_weights))
sample_weights = np.array([scale_weights[label] for label in y_resampled])
# Solo como referencia (para binarias funciona directo)
n_total = len(y_resampled)
counts = Counter(y_resampled)
scale_pos_weight_0 = n_total / (3 * counts[0])
scale_pos_weight_1 = n_total / (3 * counts[1])
scale_pos_weight_2 = n_total / (3 * counts[2])
print(" scale_pos_weight (referencia):", {
0: round(scale_pos_weight_0, 2),
1: round(scale_pos_weight_1, 2),
2: round(scale_pos_weight_2, 2)
})
# --- Paso 4: Entrenar modelo (sin early stopping)
model = XGBClassifier(
objective='multi:softprob',
num_class=3,
eval_metric='mlogloss',
use_label_encoder=False,
scale_pos_weight=scale_pos_weight_0, # solo se usa en binaria, pero mantenemos por consistencia
max_depth=8,
learning_rate=0.1,
n_estimators=300,
subsample=0.8,
colsample_bytree=0.9,
random_state=42,
n_jobs=-1
)
model.fit(
X_resampled, y_resampled,
sample_weight=sample_weights,
verbose=True
)
# --- Paso 5: Evaluar
y_pred_xg2 = model.predict(X_test_top)
print(" Matriz de confusión:\n", confusion_matrix(y_test_encoded, y_pred_xg2))
print("\n Reporte de clasificación:\n", classification_report(
y_test_encoded, y_pred_xg2,
target_names=['Credit Risk', 'Fraud Risk', 'Performing']
))
📊 Distribución final: Counter({1: 15882, 0: 13497, 2: 7907})
⚖️ scale_pos_weight (referencia): {0: 0.92, 1: 0.78, 2: 1.57}
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\xgboost\core.py:158: UserWarning: [14:10:10] WARNING: C:\b\abs_90_bwj_86a\croot\xgboost-split_1724073762025\work\src\learner.cc:740:
Parameters: { "scale_pos_weight", "use_label_encoder" } are not used.
warnings.warn(smsg, UserWarning)
📊 Matriz de confusión:
[[ 59 4 337]
[ 7 1 32]
[ 194 19 4693]]
📄 Reporte de clasificación:
precision recall f1-score support
Credit Risk 0.23 0.15 0.18 400
Fraud Risk 0.04 0.03 0.03 40
Performing 0.93 0.96 0.94 4906
accuracy 0.89 5346
macro avg 0.40 0.38 0.38 5346
weighted avg 0.87 0.89 0.88 5346
import pandas as pd
import numpy as np
from xgboost import XGBClassifier
from sklearn.metrics import classification_report, confusion_matrix
from imblearn.under_sampling import RandomUnderSampler
from imblearn.combine import SMOTETomek
from sklearn.ensemble import RandomForestClassifier
from collections import Counter
# --- Paso 1: Selección de las mejores features (top 25 ya entrenado)
rf_selector = RandomForestClassifier(n_estimators=100, random_state=42, n_jobs=-1)
rf_selector.fit(X_train, y_train_encoded)
importances = rf_selector.feature_importances_
top_25_features = pd.DataFrame({'Feature': X_train.columns, 'Importance': importances}) \
.sort_values(by='Importance', ascending=False) \
.head(25)['Feature'].tolist()
X_train_top = X_train[top_25_features]
X_test_top = X_test[top_25_features]
# --- Paso 2: Rebalanceo (undersampling + SMOTETomek)
rus = RandomUnderSampler(sampling_strategy={2: 14000}, random_state=42)
X_down, y_down = rus.fit_resample(X_train_top, y_train_encoded)
smt = SMOTETomek(sampling_strategy={0: 14000, 1: 14000}, random_state=42)
X_resampled, y_resampled = smt.fit_resample(X_down, y_down)
print(" Distribución final:", Counter(y_resampled))
# --- Paso 3: Aplicar tus pesos personalizados
# Clase 0 = Credit Risk → peso 10
# Clase 1 = Fraud Risk → peso 40
# Clase 2 = Performing → peso 1
custom_weights = {0: 10, 1: 900, 2: 0.08}
# Crear sample_weights para cada muestra en y_resampled
sample_weights = np.array([custom_weights[label] for label in y_resampled])
# --- Paso 4: Entrenar modelo (XGBoost multiclase con sample_weight)
model = XGBClassifier(
objective='multi:softprob',
num_class=3,
eval_metric='mlogloss',
use_label_encoder=False,
max_depth=8,
learning_rate=0.1,
n_estimators=300,
subsample=0.8,
colsample_bytree=0.9,
random_state=42,
n_jobs=-1
)
model.fit(
X_resampled, y_resampled,
sample_weight=sample_weights,
verbose=True
)
# --- Paso 5: Evaluar
y_pred_xg3 = model.predict(X_test_top)
print(" Matriz de confusión:\n", confusion_matrix(y_test_encoded, y_pred_xg3))
print("\n Reporte de clasificación:\n", classification_report(
y_test_encoded, y_pred_xg3,
target_names=['Credit Risk', 'Fraud Risk', 'Performing']
))
📊 Distribución final: Counter({1: 13985, 2: 13868, 0: 13865})
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\xgboost\core.py:158: UserWarning: [14:10:25] WARNING: C:\b\abs_90_bwj_86a\croot\xgboost-split_1724073762025\work\src\learner.cc:740:
Parameters: { "use_label_encoder" } are not used.
warnings.warn(smsg, UserWarning)
📊 Matriz de confusión:
[[ 205 19 176]
[ 26 7 7]
[1876 188 2842]]
📄 Reporte de clasificación:
precision recall f1-score support
Credit Risk 0.10 0.51 0.16 400
Fraud Risk 0.03 0.17 0.06 40
Performing 0.94 0.58 0.72 4906
accuracy 0.57 5346
macro avg 0.36 0.42 0.31 5346
weighted avg 0.87 0.57 0.67 5346
y_proba = model.predict_proba(X_test_top)
threshold_credit = 0.3
threshold_fraud = 0.005
threshold_performing = 0.8
idx_credit = list(le.classes_).index('credit_risk')
idx_fraud = list(le.classes_).index('fraud_risk')
idx_performing = list(le.classes_).index('performing')
y_pred_adjusted = []
for probs in y_proba:
if probs[idx_fraud] >= threshold_fraud:
y_pred_adjusted.append(idx_fraud)
elif probs[idx_credit] >= threshold_credit:
y_pred_adjusted.append(idx_credit)
elif probs[idx_performing] >= threshold_performing:
y_pred_adjusted.append(idx_performing)
else:
# Fallback: asignar la clase con mayor probabilidad
y_pred_adjusted.append(np.argmax(probs))
from sklearn.metrics import classification_report, confusion_matrix
print(confusion_matrix(y_test_encoded, y_pred_adjusted))
print(classification_report(y_test_encoded, y_pred_adjusted, target_names=le.classes_))
[[ 192 106 102]
[ 20 18 2]
[1940 868 2098]]
precision recall f1-score support
credit_risk 0.09 0.48 0.15 400
fraud_risk 0.02 0.45 0.03 40
performing 0.95 0.43 0.59 4906
accuracy 0.43 5346
macro avg 0.35 0.45 0.26 5346
weighted avg 0.88 0.43 0.55 5346
LightGBM¶
from lightgbm import LGBMClassifier
from imblearn.under_sampling import RandomUnderSampler
from imblearn.combine import SMOTETomek
from sklearn.utils.class_weight import compute_class_weight
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import classification_report, confusion_matrix
from collections import Counter
import numpy as np
# --- Paso 1: Undersampling clase mayoritaria (Performing - clase 2) ---
rus = RandomUnderSampler(sampling_strategy={2: 15000}, random_state=42)
X_down, y_down = rus.fit_resample(X_train, y_train_encoded)
print(" Distribución tras undersampling:", Counter(y_down))
# --- Paso 2: SMOTETomek para clases minoritarias ---
smt = SMOTETomek(sampling_strategy={0: 13000, 1: 10000}, random_state=42)
X_resampled, y_resampled = smt.fit_resample(X_down, y_down)
print(" Distribución tras SMOTE+Tomek:", Counter(y_resampled))
# --- Paso 3: Calcular pesos por clase ---
class_weights = compute_class_weight(class_weight='balanced',
classes=np.unique(y_resampled),
y=y_resampled)
weight_dict = dict(zip(np.unique(y_resampled), class_weights))
print(" sample_weight por clase:", weight_dict)
# --- Paso 4: Asignar peso por fila ---
sample_weights = np.array([weight_dict[label] for label in y_resampled])
# --- Paso 5: Definir modelo LGBM ---
lgbm = LGBMClassifier(
objective='multiclass',
num_class=3,
random_state=42,
n_jobs=-1
)
# --- Paso 6: GridSearch para hiperparámetros ---
param_grid = {
'n_estimators': [200],
'max_depth': [10],
'learning_rate': [0.1],
'subsample': [0.8],
'colsample_bytree': [1.0]
}
grid_search = GridSearchCV(
estimator=lgbm,
param_grid=param_grid,
scoring='recall_macro',
cv=5,
n_jobs=-1,
verbose=2
)
# --- Paso 7: Entrenar con pesos personalizados ---
grid_search.fit(X_resampled, y_resampled, sample_weight=sample_weights)
# --- Paso 8: Evaluación sobre test ---
y_pred = grid_search.predict(X_test)
print(" Mejores parámetros encontrados:", grid_search.best_params_)
print(" Matriz de confusión:\n", confusion_matrix(y_test_encoded, y_pred))
print("\n Reporte de clasificación:\n", classification_report(
y_test_encoded, y_pred,
target_names=['Credit Risk', 'Fraud Risk', 'Performing']
))
📉 Distribución tras undersampling: Counter({2: 15000, 0: 1601, 1: 159})
📈 Distribución tras SMOTE+Tomek: Counter({2: 14856, 0: 12855, 1: 9989})
⚖️ sample_weight por clase: {0: 0.9775703357967068, 1: 1.258050522241132, 2: 0.8458984024412134}
Fitting 5 folds for each of 1 candidates, totalling 5 fits
--------------------------------------------------------------------------- ValueError Traceback (most recent call last) Cell In[54], line 57 47 grid_search = GridSearchCV( 48 estimator=lgbm, 49 param_grid=param_grid, (...) 53 verbose=2 54 ) 56 # --- Paso 7: Entrenar con pesos personalizados --- ---> 57 grid_search.fit(X_resampled, y_resampled, sample_weight=sample_weights) 59 # --- Paso 8: Evaluación sobre test --- 60 y_pred = grid_search.predict(X_test) File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\model_selection\_search.py:874, in BaseSearchCV.fit(self, X, y, groups, **fit_params) 868 results = self._format_results( 869 all_candidate_params, n_splits, all_out, all_more_results 870 ) 872 return results --> 874 self._run_search(evaluate_candidates) 876 # multimetric is determined here because in the case of a callable 877 # self.scoring the return type is only known after calling 878 first_test_score = all_out[0]["test_scores"] File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\model_selection\_search.py:1388, in GridSearchCV._run_search(self, evaluate_candidates) 1386 def _run_search(self, evaluate_candidates): 1387 """Search all candidates in param_grid""" -> 1388 evaluate_candidates(ParameterGrid(self.param_grid)) File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\model_selection\_search.py:851, in BaseSearchCV.fit.<locals>.evaluate_candidates(candidate_params, cv, more_results) 844 elif len(out) != n_candidates * n_splits: 845 raise ValueError( 846 "cv.split and cv.get_n_splits returned " 847 "inconsistent results. Expected {} " 848 "splits, got {}".format(n_splits, len(out) // n_candidates) 849 ) --> 851 _warn_or_raise_about_fit_failures(out, self.error_score) 853 # For callable self.scoring, the return type is only know after 854 # calling. If the return type is a dictionary, the error scores 855 # can now be inserted with the correct key. The type checking 856 # of out will be done in `_insert_error_scores`. 857 if callable(self.scoring): File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\model_selection\_validation.py:367, in _warn_or_raise_about_fit_failures(results, error_score) 360 if num_failed_fits == num_fits: 361 all_fits_failed_message = ( 362 f"\nAll the {num_fits} fits failed.\n" 363 "It is very likely that your model is misconfigured.\n" 364 "You can try to debug the error by setting error_score='raise'.\n\n" 365 f"Below are more details about the failures:\n{fit_errors_summary}" 366 ) --> 367 raise ValueError(all_fits_failed_message) 369 else: 370 some_fits_failed_message = ( 371 f"\n{num_failed_fits} fits failed out of a total of {num_fits}.\n" 372 "The score on these train-test partitions for these parameters" (...) 376 f"Below are more details about the failures:\n{fit_errors_summary}" 377 ) ValueError: All the 5 fits failed. It is very likely that your model is misconfigured. You can try to debug the error by setting error_score='raise'. Below are more details about the failures: -------------------------------------------------------------------------------- 5 fits failed with the following error: Traceback (most recent call last): File "c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\model_selection\_validation.py", line 686, in _fit_and_score estimator.fit(X_train, y_train, **fit_params) File "c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\lightgbm\sklearn.py", line 967, in fit super().fit(X, _y, sample_weight=sample_weight, init_score=init_score, eval_set=valid_sets, File "c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\lightgbm\sklearn.py", line 748, in fit self._Booster = train( File "c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\lightgbm\engine.py", line 271, in train booster = Booster(params=params, train_set=train_set) File "c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\lightgbm\basic.py", line 2605, in __init__ train_set.construct() File "c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\lightgbm\basic.py", line 1815, in construct self._lazy_init(self.data, label=self.label, File "c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\lightgbm\basic.py", line 1573, in _lazy_init return self.set_feature_name(feature_name) File "c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\lightgbm\basic.py", line 2142, in set_feature_name _safe_call(_LIB.LGBM_DatasetSetFeatureNames( File "c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\lightgbm\basic.py", line 125, in _safe_call raise LightGBMError(_LIB.LGBM_GetLastError().decode('utf-8')) lightgbm.basic.LightGBMError: Do not support special JSON characters in feature name.
Ensemble and various¶
Easyensemble and Balancedbagging¶
from imblearn.ensemble import EasyEnsembleClassifier, BalancedBaggingClassifier
from sklearn.metrics import classification_report, confusion_matrix
from collections import Counter
print("Distribución en y_train:", Counter(y_train_encoded))
# Voy a probar con ambos clasificadores:
models = {
"EasyEnsemble": EasyEnsembleClassifier(n_estimators=10, random_state=42, n_jobs=-1),
"BalancedBagging": BalancedBaggingClassifier(n_estimators=10, random_state=42, n_jobs=-1)
}
for name, model in models.items():
print(f"\n Entrenando modelo: {name}")
model.fit(X_train, y_train_encoded)
y_pred_models = model.predict(X_test)
print(f" Matriz de confusión ({name}):\n", confusion_matrix(y_test_encoded, y_pred_models))
print(f"\n Reporte de clasificación ({name}):\n", classification_report(
y_test_encoded, y_pred_models, target_names=['Credit Risk', 'Fraud Risk', 'Performing']
))
Distribución en y_train: Counter({2: 19620, 0: 1601, 1: 159})
🔍 Entrenando modelo: EasyEnsemble
📊 Matriz de confusión (EasyEnsemble):
[[ 107 136 157]
[ 8 22 10]
[1015 753 3138]]
📄 Reporte de clasificación (EasyEnsemble):
precision recall f1-score support
Credit Risk 0.09 0.27 0.14 400
Fraud Risk 0.02 0.55 0.05 40
Performing 0.95 0.64 0.76 4906
accuracy 0.61 5346
macro avg 0.36 0.49 0.32 5346
weighted avg 0.88 0.61 0.71 5346
🔍 Entrenando modelo: BalancedBagging
📊 Matriz de confusión (BalancedBagging):
[[ 175 84 141]
[ 19 13 8]
[1735 545 2626]]
📄 Reporte de clasificación (BalancedBagging):
precision recall f1-score support
Credit Risk 0.09 0.44 0.15 400
Fraud Risk 0.02 0.33 0.04 40
Performing 0.95 0.54 0.68 4906
accuracy 0.53 5346
macro avg 0.35 0.43 0.29 5346
weighted avg 0.88 0.53 0.64 5346
Catboost¶
from catboost import CatBoostClassifier
from imblearn.under_sampling import RandomUnderSampler
from imblearn.combine import SMOTETomek
from sklearn.utils.class_weight import compute_class_weight
from sklearn.metrics import classification_report, confusion_matrix
from collections import Counter
import numpy as np
# Paso 1: Undersampling de Performing (clase 2)
rus = RandomUnderSampler(sampling_strategy={2: 3000}, random_state=42)
X_down, y_down = rus.fit_resample(X_train, y_train_encoded)
print(" Distribución tras undersampling:", Counter(y_down))
# Paso 2: SMOTE + Tomek de clases 0 y 1
smt = SMOTETomek(sampling_strategy={0: 3600, 1: 5900}, random_state=42)
X_resampled, y_resampled = smt.fit_resample(X_down, y_down)
print(" Distribución tras SMOTE+Tomek:", Counter(y_resampled))
# Paso 3: sample_weight por clase
pesos = compute_class_weight(class_weight='balanced', classes=np.unique(y_resampled), y=y_resampled)
scale_weights = dict(zip(np.unique(y_resampled), pesos))
print(" sample_weight por clase:", scale_weights)
# Paso 4: Crear vector sample_weight por fila
sample_weights = np.array([scale_weights[label] for label in y_resampled])
# Paso 5: Definir modelo CatBoostClassifier
cat_model = CatBoostClassifier(
loss_function='MultiClass',
random_state=42,
verbose=False,
iterations=500,
learning_rate=0.1,
depth=10
)
# Paso 6: Entrenamiento con pesos
print("\n Entrenando modelo: CatBoostClassifier")
cat_model.fit(X_resampled, y_resampled, sample_weight=sample_weights)
# Paso 7: Evaluación
y_pred = cat_model.predict(X_test)
print("\n Matriz de confusión:\n", confusion_matrix(y_test_encoded, y_pred))
print("\n Reporte de clasificación:\n", classification_report(
y_test_encoded, y_pred,
target_names=['Credit Risk', 'Fraud Risk', 'Performing']
))
📉 Distribución tras undersampling: Counter({2: 3000, 0: 1601, 1: 159})
📈 Distribución tras SMOTE+Tomek: Counter({1: 5882, 0: 3419, 2: 2825})
⚖️ sample_weight por clase: {0: 1.182217022521205, 1: 0.6871812308738524, 2: 1.4307964601769911}
🔍 Entrenando modelo: CatBoostClassifier
📊 Matriz de confusión:
[[ 150 9 241]
[ 19 0 21]
[ 762 48 4096]]
📄 Reporte de clasificación:
precision recall f1-score support
Credit Risk 0.16 0.38 0.23 400
Fraud Risk 0.00 0.00 0.00 40
Performing 0.94 0.83 0.88 4906
accuracy 0.79 5346
macro avg 0.37 0.40 0.37 5346
weighted avg 0.87 0.79 0.83 5346
BalancedRF¶
from imblearn.ensemble import BalancedRandomForestClassifier
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import fbeta_score, classification_report, confusion_matrix, ConfusionMatrixDisplay, make_scorer
import matplotlib.pyplot as plt
# 1. Definir el modelo base
brf = BalancedRandomForestClassifier(random_state=42, n_jobs=-1)
# 2. Definir los parámetros para el grid search
param_grid = {
'n_estimators': [100, 200],
'max_depth': [10, 20],
'min_samples_split': [2, 5]
}
# 3. Definir la métrica personalizada (f2_score)
f2_scorer = make_scorer(fbeta_score, beta=2, average='macro')
# 4. Configurar GridSearchCV
grid_search_brf = GridSearchCV(
estimator=brf,
param_grid=param_grid,
scoring=f2_scorer,
cv=5,
verbose=2,
n_jobs=-1
)
# 5. Entrenar el modelo
grid_search_brf.fit(X_train, y_train_encoded)
# 6. Predecir
y_pred_brf = grid_search_brf.predict(X_test)
# 7. Evaluación
print(" Mejores parámetros encontrados:", grid_search_brf.best_params_)
print("\n Matriz de confusión:")
print(confusion_matrix(y_test_encoded, y_pred_brf))
print("\n Reporte de clasificación:")
print(classification_report(y_test_encoded, y_pred_brf, target_names=le.classes_))
# 8. Visualización
ConfusionMatrixDisplay.from_estimator(
grid_search_brf.best_estimator_,
X_test,
y_test_encoded,
display_labels=le.classes_,
cmap="Blues"
)
plt.title("Matriz de Confusión - BalancedRandomForestClassifier (F2 Score)")
plt.show()
Fitting 5 folds for each of 8 candidates, totalling 40 fits
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\imblearn\ensemble\_forest.py:577: FutureWarning: The default of `sampling_strategy` will change from `'auto'` to `'all'` in version 0.13. This change will follow the implementation proposed in the original paper. Set to `'all'` to silence this warning and adopt the future behaviour. warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\imblearn\ensemble\_forest.py:589: FutureWarning: The default of `replacement` will change from `False` to `True` in version 0.13. This change will follow the implementation proposed in the original paper. Set to `True` to silence this warning and adopt the future behaviour. warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\imblearn\ensemble\_forest.py:601: FutureWarning: The default of `bootstrap` will change from `True` to `False` in version 0.13. This change will follow the implementation proposed in the original paper. Set to `False` to silence this warning and adopt the future behaviour. warn(
✅ Mejores parámetros encontrados: {'max_depth': 10, 'min_samples_split': 2, 'n_estimators': 200}
📊 Matriz de confusión:
[[ 108 132 160]
[ 12 22 6]
[ 861 867 3178]]
📄 Reporte de clasificación:
precision recall f1-score support
credit_risk 0.11 0.27 0.16 400
fraud_risk 0.02 0.55 0.04 40
performing 0.95 0.65 0.77 4906
accuracy 0.62 5346
macro avg 0.36 0.49 0.32 5346
weighted avg 0.88 0.62 0.72 5346
MLP¶
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import classification_report, confusion_matrix
from imblearn.under_sampling import RandomUnderSampler
from imblearn.combine import SMOTETomek
from collections import Counter
# --- Escalado ---
scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
X_test_scaled = scaler.transform(X_test)
# --- Rebalanceo ---
rus = RandomUnderSampler(sampling_strategy={2: 3000}, random_state=42)
X_down, y_down = rus.fit_resample(X_train_scaled, y_train_encoded)
smt = SMOTETomek(sampling_strategy={0: 3600, 1: 5900}, random_state=42)
X_resampled, y_resampled = smt.fit_resample(X_down, y_down)
print(" Distribución final:", Counter(y_resampled))
# --- Convertir a tensores ---
X_train_tensor = torch.tensor(X_resampled, dtype=torch.float32)
y_train_tensor = torch.tensor(y_resampled, dtype=torch.long)
X_test_tensor = torch.tensor(X_test_scaled, dtype=torch.float32)
y_test_tensor = torch.tensor(y_test_encoded, dtype=torch.long)
# --- Definición de la red neuronal ---
class MLP(nn.Module):
def __init__(self, input_size, hidden1=128, hidden2=64, output_size=3):
super(MLP, self).__init__()
self.model = nn.Sequential(
nn.Linear(input_size, hidden1),
nn.ReLU(),
nn.Dropout(0.3),
nn.Linear(hidden1, hidden2),
nn.ReLU(),
nn.Dropout(0.3),
nn.Linear(hidden2, output_size)
)
def forward(self, x):
return self.model(x)
# --- Inicialización ---
input_size = X_train_tensor.shape[1]
model = MLP(input_size)
criterion = nn.CrossEntropyLoss()
optimizer = optim.Adam(model.parameters(), lr=0.001)
# --- Entrenamiento ---
epochs = 45
for epoch in range(epochs):
model.train()
optimizer.zero_grad()
outputs = model(X_train_tensor)
loss = criterion(outputs, y_train_tensor)
loss.backward()
optimizer.step()
if (epoch+1) % 5 == 0:
print(f"Epoch [{epoch+1}/{epochs}] - Loss: {loss.item():.4f}")
# --- Evaluación ---
model.eval()
with torch.no_grad():
predictions = model(X_test_tensor)
predicted_labels = torch.argmax(predictions, dim=1).numpy()
# --- Métricas ---
print(" Matriz de confusión:\n", confusion_matrix(y_test_encoded, predicted_labels))
print("\n Reporte de clasificación:\n", classification_report(
y_test_encoded,
predicted_labels,
target_names=le.classes_
))
📊 Distribución final: Counter({1: 5900, 0: 3504, 2: 2904})
Epoch [5/45] - Loss: 1.0366
Epoch [10/45] - Loss: 0.9997
Epoch [15/45] - Loss: 0.9604
Epoch [20/45] - Loss: 0.9167
Epoch [25/45] - Loss: 0.8695
Epoch [30/45] - Loss: 0.8280
Epoch [35/45] - Loss: 0.7866
Epoch [40/45] - Loss: 0.7436
Epoch [45/45] - Loss: 0.7086
📊 Matriz de confusión:
[[ 157 111 132]
[ 11 23 6]
[1364 843 2699]]
📄 Reporte de clasificación:
precision recall f1-score support
credit_risk 0.10 0.39 0.16 400
fraud_risk 0.02 0.57 0.05 40
performing 0.95 0.55 0.70 4906
accuracy 0.54 5346
macro avg 0.36 0.51 0.30 5346
weighted avg 0.88 0.54 0.65 5346
Deep MLP¶
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import classification_report, confusion_matrix
from imblearn.under_sampling import RandomUnderSampler
from imblearn.combine import SMOTETomek
from collections import Counter
# --- Escalado ---
scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
X_test_scaled = scaler.transform(X_test)
# --- Rebalanceo ---
rus = RandomUnderSampler(sampling_strategy={2: 14000}, random_state=42)
X_down, y_down = rus.fit_resample(X_train_scaled, y_train_encoded)
smt = SMOTETomek(sampling_strategy={0: 13600, 1: 12900}, random_state=42)
X_resampled, y_resampled = smt.fit_resample(X_down, y_down)
print(" Distribución final:", Counter(y_resampled))
# --- Tensores ---
X_train_tensor = torch.tensor(X_resampled, dtype=torch.float32)
y_train_tensor = torch.tensor(y_resampled, dtype=torch.long)
X_test_tensor = torch.tensor(X_test_scaled, dtype=torch.float32)
y_test_tensor = torch.tensor(y_test_encoded, dtype=torch.long)
# --- Red neuronal profunda ---
class DeepMLP(nn.Module):
def __init__(self, input_size, output_size=3):
super(DeepMLP, self).__init__()
self.network = nn.Sequential(
nn.Linear(input_size, 256),
nn.BatchNorm1d(256),
nn.LeakyReLU(),
nn.Dropout(0.4),
nn.Linear(256, 128),
nn.BatchNorm1d(128),
nn.LeakyReLU(),
nn.Dropout(0.4),
nn.Linear(128, 64),
nn.BatchNorm1d(64),
nn.LeakyReLU(),
nn.Dropout(0.3),
nn.Linear(64, output_size)
)
def forward(self, x):
return self.network(x)
# --- Focal Loss ---
class FocalLoss(nn.Module):
def __init__(self, gamma=2.0, alpha=None):
super(FocalLoss, self).__init__()
self.gamma = gamma
self.alpha = alpha
def forward(self, inputs, targets):
ce_loss = nn.CrossEntropyLoss(reduction='none')(inputs, targets)
pt = torch.exp(-ce_loss)
focal_loss = ((1 - pt) ** self.gamma) * ce_loss
if self.alpha is not None:
alpha_t = self.alpha.gather(0, targets)
focal_loss *= alpha_t
return focal_loss.mean()
# --- Inicialización del modelo ---
input_size = X_train_tensor.shape[1]
model = DeepMLP(input_size)
optimizer = optim.Adam(model.parameters(), lr=0.0008)
# --- Alpha (pesos inversos) ---
class_counts = Counter(y_resampled)
total = sum(class_counts.values())
alpha = torch.tensor([
total / class_counts[0],
total / class_counts[1],
total / class_counts[2]
], dtype=torch.float32)
# --- Usar focal loss con alpha y gamma ---
criterion = FocalLoss(gamma=2.0, alpha=alpha)
# --- Entrenamiento ---
epochs = 40
for epoch in range(epochs):
model.train()
optimizer.zero_grad()
outputs = model(X_train_tensor)
loss = criterion(outputs, y_train_tensor)
loss.backward()
optimizer.step()
if (epoch + 1) % 5 == 0:
print(f"Epoch [{epoch+1}/{epochs}] - Loss: {loss.item():.4f}")
# --- Evaluación ---
model.eval()
with torch.no_grad():
predictions = model(X_test_tensor)
predicted_labels_deep = torch.argmax(predictions, dim=1).numpy()
# --- Métricas ---
print(" Matriz de confusión:\n", confusion_matrix(y_test_encoded, predicted_labels_deep))
print("\n Reporte de clasificación:\n", classification_report(
y_test_encoded,
predicted_labels_deep,
target_names=['Credit Risk', 'Fraud Risk', 'Performing']
))
📊 Distribución final: Counter({2: 13993, 0: 13593, 1: 12900})
Epoch [5/40] - Loss: 1.4765
Epoch [10/40] - Loss: 1.2842
Epoch [15/40] - Loss: 1.1470
Epoch [20/40] - Loss: 1.0607
Epoch [25/40] - Loss: 0.9827
Epoch [30/40] - Loss: 0.9188
Epoch [35/40] - Loss: 0.8498
Epoch [40/40] - Loss: 0.7981
📊 Matriz de confusión:
[[ 180 41 179]
[ 17 12 11]
[1291 252 3363]]
📄 Reporte de clasificación:
precision recall f1-score support
Credit Risk 0.12 0.45 0.19 400
Fraud Risk 0.04 0.30 0.07 40
Performing 0.95 0.69 0.80 4906
accuracy 0.66 5346
macro avg 0.37 0.48 0.35 5346
weighted avg 0.88 0.66 0.74 5346
Doble modelo¶
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import classification_report, ConfusionMatrixDisplay
from imblearn.over_sampling import SMOTE
import matplotlib.pyplot as plt
import numpy as np
from collections import Counter
# 1. Convertimos y_train_encoded e y_test_encoded a binario
y_train_bin = np.where(y_train_encoded == 2, 1, 0) # Performing = 1, No Performing = 0
y_test_bin = np.where(y_test_encoded == 2, 1, 0)
# 2. SMOTE en el train binario
smote_bin = SMOTE(sampling_strategy=1.0, random_state=42)
X_train_bal, y_train_bal = smote_bin.fit_resample(X_train, y_train_bin)
print("✅ Train balanceado:", Counter(y_train_bal))
# 3. SMOTE en el test binario (solo validación)
X_test_bal, y_test_bal = smote_bin.fit_resample(X_test, y_test_bin)
print("📊 Test balanceado:", Counter(y_test_bal))
# 4. Modelo 1: Performing vs No Performing
model_bin = RandomForestClassifier(random_state=42)
model_bin.fit(X_train_bal, y_train_bal)
y_pred_bin = model_bin.predict(X_test_bal)
# 5. Evaluación Performing vs No Performing
print("\n📉 Matriz de Confusión - Performing vs No Performing (rebalanceado en test)")
ConfusionMatrixDisplay.from_predictions(y_test_bal, y_pred_bin,
display_labels=["No Performing", "Performing"],
cmap="Blues")
plt.show()
print(classification_report(y_test_bal, y_pred_bin, target_names=["No Performing", "Performing"]))
# 6. Subconjunto de test predicho como No Performing
X_test_sub = X_test_bal[y_pred_bin == 0]
y_test_sub = y_test_bal[y_pred_bin == 0] # ⚠️ usar etiquetas rebalanceadas
# 7. Subconjunto de entrenamiento con clases 0 y 1
mask_train = (y_train_encoded == 0) | (y_train_encoded == 1)
X_train_sub = X_train[mask_train]
y_train_sub = y_train_encoded[mask_train]
# 8. Modelo 2: Credit vs Fraud
model_riesgo = RandomForestClassifier(random_state=42)
model_riesgo.fit(X_train_sub, y_train_sub)
y_pred_sub = model_riesgo.predict(X_test_sub)
# 9. Evaluación Credit vs Fraud
print("\n📊 Matriz de Confusión - Credit vs Fraud (solo No Performing predichos)")
ConfusionMatrixDisplay.from_predictions(y_test_sub, y_pred_sub,
display_labels=["Credit Risk", "Fraud Risk"],
cmap="Oranges")
plt.show()
print(classification_report(y_test_sub, y_pred_sub,
target_names=["Credit Risk", "Fraud Risk"]))
✅ Train balanceado: Counter({1: 19620, 0: 19620})
📊 Test balanceado: Counter({1: 4906, 0: 4906})
📉 Matriz de Confusión - Performing vs No Performing (rebalanceado en test)
precision recall f1-score support
No Performing 0.99 0.88 0.93 4906
Performing 0.89 0.99 0.94 4906
accuracy 0.93 9812
macro avg 0.94 0.93 0.93 9812
weighted avg 0.94 0.93 0.93 9812
📊 Matriz de Confusión - Credit vs Fraud (solo No Performing predichos)
precision recall f1-score support
Credit Risk 0.99 1.00 1.00 4296
Fraud Risk 0.50 0.03 0.06 30
accuracy 0.99 4326
macro avg 0.75 0.52 0.53 4326
weighted avg 0.99 0.99 0.99 4326
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import classification_report, ConfusionMatrixDisplay
from imblearn.over_sampling import SMOTE
import matplotlib.pyplot as plt
import numpy as np
from collections import Counter
# 1. Convertimos y_train_encoded e y_test_encoded a binario
y_train_bin = np.where(y_train_encoded == 2, 1, 0) # Performing = 1, No Performing = 0
y_test_bin = np.where(y_test_encoded == 2, 1, 0)
# 2. SMOTE en el train binario
smote_bin = SMOTE(sampling_strategy=1.0, random_state=42)
X_train_bal, y_train_bal = smote_bin.fit_resample(X_train, y_train_bin)
print("✅ Train balanceado (binario):", Counter(y_train_bal))
# 3. SMOTE en el test binario (solo validación)
X_test_bal, y_test_bal = smote_bin.fit_resample(X_test, y_test_bin)
print("📊 Test balanceado (binario):", Counter(y_test_bal))
# 4. Modelo 1: Performing vs No Performing
model_bin = RandomForestClassifier(random_state=42)
model_bin.fit(X_train_bal, y_train_bal)
y_pred_bin = model_bin.predict(X_test_bal)
# 5. Evaluación Performing vs No Performing
print("\n📉 Matriz de Confusión - Performing vs No Performing (rebalanceado en test)")
ConfusionMatrixDisplay.from_predictions(y_test_bal, y_pred_bin,
display_labels=["No Performing", "Performing"],
cmap="Blues")
plt.show()
print(classification_report(y_test_bal, y_pred_bin, target_names=["No Performing", "Performing"]))
# 6. Subconjunto de test predicho como No Performing
X_test_sub = X_test_bal[y_pred_bin == 0]
y_test_sub = y_test_bal[y_pred_bin == 0] # ⚠️ usar etiquetas rebalanceadas
# 7. Subconjunto de entrenamiento con clases 0 y 1
mask_train = (y_train_encoded == 0) | (y_train_encoded == 1)
X_train_sub = X_train[mask_train]
y_train_sub = y_train_encoded[mask_train]
# 8. SMOTE para Credit vs Fraud
smote_riesgo = SMOTE(random_state=42)
X_train_sub_bal, y_train_sub_bal = smote_riesgo.fit_resample(X_train_sub, y_train_sub)
print("✅ Train balanceado (riesgo):", Counter(y_train_sub_bal))
# 9. Modelo 2: Credit vs Fraud
model_riesgo = RandomForestClassifier(random_state=42)
model_riesgo.fit(X_train_sub_bal, y_train_sub_bal)
y_pred_sub = model_riesgo.predict(X_test_sub)
# 10. Evaluación Credit vs Fraud
print("\n📊 Matriz de Confusión - Credit vs Fraud (solo No Performing predichos)")
ConfusionMatrixDisplay.from_predictions(y_test_sub, y_pred_sub,
display_labels=["Credit Risk", "Fraud Risk"],
cmap="Oranges")
plt.show()
print(classification_report(y_test_sub, y_pred_sub,
target_names=["Credit Risk", "Fraud Risk"]))
✅ Train balanceado (binario): Counter({1: 19620, 0: 19620})
📊 Test balanceado (binario): Counter({1: 4906, 0: 4906})
📉 Matriz de Confusión - Performing vs No Performing (rebalanceado en test)
precision recall f1-score support
No Performing 0.99 0.87 0.93 4906
Performing 0.89 0.99 0.94 4906
accuracy 0.93 9812
macro avg 0.94 0.93 0.93 9812
weighted avg 0.94 0.93 0.93 9812
✅ Train balanceado (riesgo): Counter({1: 1601, 0: 1601})
📊 Matriz de Confusión - Credit vs Fraud (solo No Performing predichos)
precision recall f1-score support
Credit Risk 0.97 0.23 0.37 4288
Fraud Risk 0.00 0.00 0.00 30
accuracy 0.23 4318
macro avg 0.49 0.12 0.19 4318
weighted avg 0.96 0.23 0.37 4318
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import classification_report, ConfusionMatrixDisplay
from imblearn.over_sampling import SMOTE
import matplotlib.pyplot as plt
from collections import Counter
import numpy as np
# 1. Subconjunto de entrenamiento (solo credit_risk y fraud_risk)
mask_train = (y_train_encoded == 0) | (y_train_encoded == 1)
X_train_sub = X_train[mask_train]
y_train_sub = y_train_encoded[mask_train]
# 2. Predicciones originales sin rebalanceo (¡importante!)
y_pred_bin_original = model_bin.predict(X_test) # modelo_bin viene del paso anterior
# 3. Subconjunto de test predicho como No Performing (sin usar X_test_bal)
X_test_sub = X_test[y_pred_bin_original == 0]
y_test_sub = y_test_encoded[y_pred_bin_original == 0]
# 4. Aplicamos SMOTE al train
smote_train = SMOTE(random_state=42)
X_train_sub_bal, y_train_sub_bal = smote_train.fit_resample(X_train_sub, y_train_sub)
print("✅ Train balanceado (riesgo):", Counter(y_train_sub_bal))
# 5. Aplicamos SMOTE al test (solo para validación)
mask_test = (y_test_sub == 0) | (y_test_sub == 1)
X_test_sub_val = X_test_sub[mask_test]
y_test_sub_val = y_test_sub[mask_test]
smote_test = SMOTE(random_state=42, k_neighbors=1)
X_test_sub_bal, y_test_sub_bal = smote_test.fit_resample(X_test_sub_val, y_test_sub_val)
print("📊 Test balanceado (riesgo - validación):", Counter(y_test_sub_bal))
# 6. Entrenamos el modelo
model_riesgo = RandomForestClassifier(n_estimators=500, max_depth=10,
class_weight='balanced', random_state=42)
model_riesgo.fit(X_train_sub_bal, y_train_sub_bal)
y_pred_sub = model_riesgo.predict(X_test_sub_bal)
# 7. Evaluación final
print("\n📊 Matriz de Confusión - Credit vs Fraud (con test rebalanceado)")
ConfusionMatrixDisplay.from_predictions(y_test_sub_bal, y_pred_sub,
display_labels=["Credit Risk", "Fraud Risk"],
cmap="Oranges")
plt.show()
print(classification_report(y_test_sub_bal, y_pred_sub,
target_names=["Credit Risk", "Fraud Risk"]))
✅ Train balanceado (riesgo): Counter({1: 1601, 0: 1601})
📊 Test balanceado (riesgo - validación): Counter({0: 19, 1: 19})
📊 Matriz de Confusión - Credit vs Fraud (con test rebalanceado)
precision recall f1-score support
Credit Risk 0.88 0.79 0.83 19
Fraud Risk 0.81 0.89 0.85 19
accuracy 0.84 38
macro avg 0.85 0.84 0.84 38
weighted avg 0.85 0.84 0.84 38
Modelo binario¶
# Creamos nuevas variables binarias
y_train_bin = (y_train_encoded != le.transform(['performing'])[0]).astype(int)
y_test_bin = (y_test_encoded != le.transform(['performing'])[0]).astype(int)
# Ahora:
# - 0: performing → no_riesgo
# - 1: credit_risk o fraud_risk → riesgo
y_train_encoded
array([2, 1, 2, ..., 2, 2, 2])
from xgboost import XGBClassifier
from imblearn.over_sampling import ADASYN
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
from sklearn.ensemble import RandomForestClassifier
from sklearn.preprocessing import LabelEncoder
from collections import Counter
import matplotlib.pyplot as plt
import numpy as np
# 2. REBALANCEAR CON ADASYN
adasyn = ADASYN(random_state=42)
X_train_resampled, y_train_resampled = adasyn.fit_resample(X_train, y_train_bin)
print("Distribución original:", Counter(y_train_bin))
print("Distribución después de ADASYN:", Counter(y_train_resampled))
# 3. ENTRENAR XGBOOST BINARIO
scale_weight = Counter(y_train_bin)[0] / Counter(y_train_bin)[1]
xgb_model = XGBClassifier(
n_estimators=300,
max_depth=6,
learning_rate=0.1,
scale_pos_weight=scale_weight,
use_label_encoder=False,
eval_metric='logloss',
random_state=42,
n_jobs=-1
)
xgb_model.fit(X_train_resampled, y_train_resampled)
# 4. AJUSTE DE THRESHOLD
y_proba = xgb_model.predict_proba(X_test)[:, 1] # Probabilidad de clase 1 (riesgo)
threshold = 0.15
y_pred_thresh = (y_proba >= threshold).astype(int)
# Evaluación
print(f"\n Evaluación con threshold ajustado a {threshold}:")
print(confusion_matrix(y_test_bin, y_pred_thresh))
print(classification_report(y_test_bin, y_pred_thresh, target_names=["no_riesgo", "riesgo"]))
ConfusionMatrixDisplay.from_predictions(
y_test_bin, y_pred_thresh,
display_labels=["no_riesgo", "riesgo"],
cmap="YlGnBu"
)
plt.title(f"Matriz de Confusión - XGBoost Binario (Threshold {threshold})")
plt.show()
🎯 Distribución original: Counter({0: 19620, 1: 1760})
📈 Distribución después de ADASYN: Counter({1: 19839, 0: 19620})
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\xgboost\core.py:158: UserWarning: [09:16:03] WARNING: C:\b\abs_90_bwj_86a\croot\xgboost-split_1724073762025\work\src\learner.cc:740:
Parameters: { "use_label_encoder" } are not used.
warnings.warn(smsg, UserWarning)
📉 Evaluación con threshold ajustado a 0.15:
[[1900 3006]
[ 75 365]]
precision recall f1-score support
no_riesgo 0.96 0.39 0.55 4906
riesgo 0.11 0.83 0.19 440
accuracy 0.42 5346
macro avg 0.54 0.61 0.37 5346
weighted avg 0.89 0.42 0.52 5346
SVM¶
from sklearn.svm import SVC
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
import matplotlib.pyplot as plt
# Crear SVM con penalización por clase automática
svm_bal = make_pipeline(
StandardScaler(),
SVC(kernel='rbf', C=1.0, class_weight='balanced', decision_function_shape='ovr', random_state=42)
)
# Entrenar
svm_bal.fit(X_train, y_train_encoded)
# Predecir
y_pred_svm_bal = svm_bal.predict(X_test)
# Evaluar
print("\n Matriz de confusión - SVM con class_weight='balanced':")
print(confusion_matrix(y_test_encoded, y_pred_svm_bal))
print("\n Reporte de clasificación:")
print(classification_report(y_test_encoded, y_pred_svm_bal, target_names=le.classes_))
# Visualización
ConfusionMatrixDisplay.from_predictions(
y_test_encoded, y_pred_svm_bal,
display_labels=le.classes_,
cmap="BuPu"
)
plt.title("Matriz de Confusión - SVM con Penalización Balanceada")
plt.show()
📊 Matriz de confusión - SVM con class_weight='balanced':
[[ 158 17 225]
[ 17 6 17]
[1050 69 3787]]
📄 Reporte de clasificación:
precision recall f1-score support
credit_risk 0.13 0.40 0.19 400
fraud_risk 0.07 0.15 0.09 40
performing 0.94 0.77 0.85 4906
accuracy 0.74 5346
macro avg 0.38 0.44 0.38 5346
weighted avg 0.87 0.74 0.79 5346
Modelo binario con redes neuronales¶
# ==============================
# 1. LIBRERÍAS Y SETUP
# ==============================
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from imblearn.over_sampling import SMOTE
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
import matplotlib.pyplot as plt
from collections import Counter
# ==============================
# 2. BINARIZAR LAS CLASES
# ==============================
# y_train_encoded: etiquetas originales multiclase
# performing = 2 → lo convertimos en clase 0
# credit_risk (0) y fraud_risk (1) → los convertimos en clase 1
y_train_bin = np.where(y_train_encoded == 2, 0, 1)
y_test_bin = np.where(y_test_encoded == 2, 0, 1)
print(" Distribución original:", Counter(y_train_bin))
# ==============================
# 3. ESCALADO
# ==============================
scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
X_test_scaled = scaler.transform(X_test)
# ==============================
# 4. REBALANCEO CON SMOTE
# ==============================
smote = SMOTE(random_state=42)
X_resampled, y_resampled = smote.fit_resample(X_train_scaled, y_train_bin)
print(" Distribución después de SMOTE:", Counter(y_resampled))
# ==============================
# 5. TENSORES PARA PYTORCH
# ==============================
X_train_tensor = torch.tensor(X_resampled, dtype=torch.float32)
y_train_tensor = torch.tensor(y_resampled.reshape(-1, 1), dtype=torch.float32)
X_test_tensor = torch.tensor(X_test_scaled, dtype=torch.float32)
y_test_tensor = torch.tensor(y_test_bin.reshape(-1, 1), dtype=torch.float32)
# ==============================
# 6. MODELO BINARIO
# ==============================
class BinaryMLP(nn.Module):
def __init__(self, input_size, hidden1=512, hidden2=128):
super(BinaryMLP, self).__init__()
self.model = nn.Sequential(
nn.Linear(input_size, hidden1),
nn.ReLU(),
nn.Dropout(0.3),
nn.Linear(hidden1, hidden2),
nn.ReLU(),
nn.Dropout(0.3),
nn.Linear(hidden2, 1) # Binario
)
def forward(self, x):
return self.model(x) # No aplicar sigmoid aquí (lo hace BCEWithLogitsLoss)
# ==============================
# 7. ENTRENAMIENTO
# ==============================
input_size = X_train_tensor.shape[1]
model = BinaryMLP(input_size)
criterion = nn.BCEWithLogitsLoss()
optimizer = optim.Adam(model.parameters(), lr=0.001)
epochs = 40
for epoch in range(epochs):
model.train()
optimizer.zero_grad()
outputs = model(X_train_tensor)
loss = criterion(outputs, y_train_tensor)
loss.backward()
optimizer.step()
if (epoch+1) % 5 == 0:
print(f"Epoch [{epoch+1}/{epochs}] - Loss: {loss.item():.4f}")
# ==============================
# 8. EVALUACIÓN
# ==============================
model.eval()
with torch.no_grad():
logits = model(X_test_tensor)
probs = torch.sigmoid(logits).numpy().flatten() # Probabilidad de clase 1 (no-performing)
# Ajustar el threshold según curva PR/F1
threshold = 0.2
y_pred_bin = (probs >= threshold).astype(int)
# ==============================
# 9. RESULTADOS
# ==============================
print(f"\n Evaluación con threshold = {threshold}")
print(confusion_matrix(y_test_bin, y_pred_bin))
print(classification_report(y_test_bin, y_pred_bin, target_names=["performing", "no_performing"]))
ConfusionMatrixDisplay.from_predictions(
y_test_bin, y_pred_bin,
display_labels=["performing", "no_performing"],
cmap="YlGnBu"
)
plt.title(f"Matriz de Confusión - Binary MLP (Threshold {threshold})")
plt.show()
🎯 Distribución original: Counter({0: 19620, 1: 1760})
📈 Distribución después de SMOTE: Counter({0: 19620, 1: 19620})
Epoch [5/40] - Loss: 0.6438
Epoch [10/40] - Loss: 0.6115
Epoch [15/40] - Loss: 0.5913
Epoch [20/40] - Loss: 0.5725
Epoch [25/40] - Loss: 0.5567
Epoch [30/40] - Loss: 0.5358
Epoch [35/40] - Loss: 0.5157
Epoch [40/40] - Loss: 0.4926
📉 Evaluación con threshold = 0.2
[[1841 3065]
[ 77 363]]
precision recall f1-score support
performing 0.96 0.38 0.54 4906
no_performing 0.11 0.82 0.19 440
accuracy 0.41 5346
macro avg 0.53 0.60 0.36 5346
weighted avg 0.89 0.41 0.51 5346
# ==============================
# 10. APLICAR RANDOM FOREST A CASOS DE RIESGO
# ==============================
# 1. Filtrar los datos clasificados como RIESGO por el modelo binario
X_test_riesgo = X_test[y_pred_bin == 1]
y_true_riesgo = y_test_encoded[y_pred_bin == 1] # Etiquetas multiclase reales (0: credit, 1: fraud, 2: performing)
# 2. Predecir con el Random Forest entrenado
y_pred_riesgo_rf = grid_search.predict(X_test_riesgo)
# 3. Evaluar solo sobre los riesgos
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
print("📊 Reporte de clasificación SOLO en instancias de riesgo (binarias=1):")
print(classification_report(
y_true_riesgo,
y_pred_riesgo_rf,
target_names=le.classes_ # Asegúrate que `le` tiene las clases ['credit_risk', 'fraud_risk', 'performing']
))
# 4. Matriz de confusión visual
ConfusionMatrixDisplay.from_predictions(
y_true_riesgo,
y_pred_riesgo_rf,
display_labels=le.classes_,
cmap="Oranges"
)
plt.title("Matriz de Confusión - Riesgo filtrado por MLP → Refinado por RF")
plt.show()
--------------------------------------------------------------------------- NotFittedError Traceback (most recent call last) Cell In[66], line 10 7 y_true_riesgo = y_test_encoded[y_pred_bin == 1] # Etiquetas multiclase reales (0: credit, 1: fraud, 2: performing) 9 # 2. Predecir con el Random Forest entrenado ---> 10 y_pred_riesgo_rf = grid_search.predict(X_test_riesgo) 12 # 3. Evaluar solo sobre los riesgos 13 from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\model_selection\_search.py:498, in BaseSearchCV.predict(self, X) 479 @available_if(_estimator_has("predict")) 480 def predict(self, X): 481 """Call predict on the estimator with the best found parameters. 482 483 Only available if ``refit=True`` and the underlying estimator supports (...) 496 the best found parameters. 497 """ --> 498 check_is_fitted(self) 499 return self.best_estimator_.predict(X) File c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\utils\validation.py:1390, in check_is_fitted(estimator, attributes, msg, all_or_any) 1385 fitted = [ 1386 v for v in vars(estimator) if v.endswith("_") and not v.startswith("__") 1387 ] 1389 if not fitted: -> 1390 raise NotFittedError(msg % {"name": type(estimator).__name__}) NotFittedError: This GridSearchCV instance is not fitted yet. Call 'fit' with appropriate arguments before using this estimator.
import numpy as np
from imblearn.under_sampling import RandomUnderSampler
from imblearn.combine import SMOTETomek
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import classification_report, ConfusionMatrixDisplay
import matplotlib.pyplot as plt
# 1️. Entrenar RandomForest solo con credit_risk y fraud_risk
mask_riesgo = (y_train_encoded != 2) # Excluir performing
X_train_riesgo = X_train[mask_riesgo]
y_train_riesgo = y_train_encoded[mask_riesgo] # Solo 0 y 1
# Rebalancear
rus = RandomUnderSampler(random_state=42)
X_down, y_down = rus.fit_resample(X_train_riesgo, y_train_riesgo)
smt = SMOTETomek(random_state=42)
X_train_rf, y_train_rf = smt.fit_resample(X_down, y_down)
# Entrenar el modelo Random Forest
rf_risk = RandomForestClassifier(
class_weight={0: 5, 1: 30}, # Puedes afinar estos pesos
n_estimators=200,
max_depth=10,
min_samples_split=5,
random_state=42,
n_jobs=-1
)
rf_risk.fit(X_train_rf, y_train_rf)
# 2. PREDICCIÓN EN CASCADA
# y_pred_bin: salida del MLP binario (ya entrenado)
# X_test: tu test original como DataFrame
final_preds = []
for i in range(X_test.shape[0]):
if y_pred_bin[i] == 0:
final_preds.append(2) # performing directamente
else:
x_sample = X_test.iloc[i].values.reshape(1, -1) # accedemos correctamente a la fila
pred = rf_risk.predict(x_sample)[0] # credit_risk (0) o fraud_risk (1)
final_preds.append(pred)
final_preds = np.array(final_preds)
# 3️. EVALUACIÓN
print("\n Reporte clasificación - Modelo Cascada")
print(classification_report(y_test_encoded, final_preds, target_names=le.classes_))
ConfusionMatrixDisplay.from_predictions(
y_test_encoded,
final_preds,
display_labels=le.classes_,
cmap="YlGnBu"
)
plt.title("Matriz de Confusión - Modelo Cascada (MLP + RF)")
plt.show()
c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn( c:\Users\kevin.vargas\AppData\Local\miniconda3\envs\pit2\lib\site-packages\sklearn\base.py:439: UserWarning: X does not have valid feature names, but RandomForestClassifier was fitted with feature names warnings.warn(
📊 Reporte clasificación - Modelo Cascada
precision recall f1-score support
credit_risk 0.08 0.30 0.12 400
fraud_risk 0.02 0.70 0.03 40
performing 0.96 0.38 0.54 4906
accuracy 0.37 5346
macro avg 0.35 0.46 0.23 5346
weighted avg 0.89 0.37 0.50 5346
Modelo stacking¶
from sklearn.ensemble import StackingClassifier, RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.neural_network import MLPClassifier
from sklearn.preprocessing import StandardScaler
from sklearn.pipeline import Pipeline
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay
import matplotlib.pyplot as plt
# =========================
# 1. DEFINIR MODELOS BASE
# =========================
estimators = [
('rf', RandomForestClassifier(
class_weight={0: 10, 1: 40, 2: 2},
n_estimators=200,
max_depth=10,
min_samples_split=5,
random_state=42,
n_jobs=-1
)),
('lr', Pipeline([
('scaler', StandardScaler()),
('lr', LogisticRegression(max_iter=1000, class_weight='balanced', random_state=42))
])),
('mlp', Pipeline([
('scaler', StandardScaler()),
('mlp', MLPClassifier(hidden_layer_sizes=(256, 128, 64),
activation='relu',
solver='adam',
alpha=0.0008,
learning_rate_init=0.001,
max_iter=200,
random_state=42))
]))
]
# =========================
# 2. DEFINIR METAMODELO (Nivel 1)
# =========================
final_estimator = LogisticRegression(max_iter=1000, class_weight='balanced', random_state=42)
# =========================
# 3. STACKING CLASSIFIER
# =========================
stacking_clf = StackingClassifier(
estimators=estimators,
final_estimator=final_estimator,
cv=5,
n_jobs=-1,
passthrough=False
)
# =========================
# 4. ENTRENAMIENTO
# =========================
stacking_clf.fit(X_train, y_train_encoded)
# =========================
# 5. PREDICCIÓN Y EVALUACIÓN
# =========================
y_pred_stack = stacking_clf.predict(X_test)
print("\n Reporte de clasificación - Modelo Stacking")
print(classification_report(y_test_encoded, y_pred_stack, target_names=le.classes_))
ConfusionMatrixDisplay.from_predictions(
y_test_encoded,
y_pred_stack,
display_labels=le.classes_,
cmap="YlGnBu"
)
plt.title("Matriz de Confusión - Modelo Stacking (Nivel 0 + Nivel 1)")
plt.show()
📊 Reporte de clasificación - Modelo Stacking
precision recall f1-score support
credit_risk 0.11 0.30 0.16 400
fraud_risk 0.02 0.57 0.04 40
performing 0.95 0.64 0.76 4906
accuracy 0.61 5346
macro avg 0.36 0.50 0.32 5346
weighted avg 0.88 0.61 0.71 5346
1.8 Elección del modelo¶
import pandas as pd
from sklearn.metrics import classification_report
# Diccionario con los nombres de los modelos y sus predicciones
model_predictions = {
'Deep MLP': predicted_labels_deep,
'XGBoost': y_pred_xg3,
'XGBoost (Threshold)': y_pred_adjusted,
'Random Forest': y_pred_rf2,
'Random Forest (Threshold)': y_pred_adjusted_rf,
'Logistic Regression': y_pred_lr1,
'Modelo binario Xgboost': y_pred_thresh,
'Modelo binario red neuronal': y_pred_bin
}
# Etiquetas reales
true_labels_dict = {
'Deep MLP': y_test_encoded,
'XGBoost': y_test_encoded,
'XGBoost (Threshold)': y_test_encoded,
'Random Forest': y_test_encoded,
'Random Forest (Threshold)': y_test_encoded,
'Logistic Regression': y_test_encoded,
'Modelo binario Xgboost': y_test_bin,
'Modelo binario red neuronal': y_test_bin
}
# Nombres de las clases
labels_multiclass = ['credit_risk', 'fraud_risk', 'performing']
labels_binary = ['no_risk', 'risk']
# Lista para guardar resultados
all_results = []
for model_name, y_pred in model_predictions.items():
y_true = true_labels_dict[model_name]
if model_name.startswith("Modelo binario"):
report = classification_report(y_true, y_pred, output_dict=True, target_names=labels_binary)
for class_name in labels_binary:
all_results.append({
'Model': model_name,
'Class': class_name,
'Precision': report[class_name]['precision'],
'Recall': report[class_name]['recall'],
'F1-Score': report[class_name]['f1-score']
})
else:
report = classification_report(y_true, y_pred, output_dict=True, target_names=labels_multiclass)
for class_name in labels_multiclass:
all_results.append({
'Model': model_name,
'Class': class_name,
'Precision': report[class_name]['precision'],
'Recall': report[class_name]['recall'],
'F1-Score': report[class_name]['f1-score']
})
# Crear DataFrame
df_summary = pd.DataFrame(all_results)
# Mostrar tabla con formato
df_summary.style.format({
'Precision': "{:.4f}",
'Recall': "{:.4f}",
'F1-Score': "{:.4f}"
})
| Model | Class | Precision | Recall | F1-Score | |
|---|---|---|---|---|---|
| 0 | Deep MLP | credit_risk | 0.1162 | 0.3625 | 0.1760 |
| 1 | Deep MLP | fraud_risk | 0.0367 | 0.3250 | 0.0660 |
| 2 | Deep MLP | performing | 0.9418 | 0.7187 | 0.8153 |
| 3 | XGBoost | credit_risk | 0.1007 | 0.5750 | 0.1714 |
| 4 | XGBoost | fraud_risk | 0.0285 | 0.1750 | 0.0490 |
| 5 | XGBoost | performing | 0.9453 | 0.5426 | 0.6895 |
| 6 | XGBoost (Threshold) | credit_risk | 0.0972 | 0.2200 | 0.1349 |
| 7 | XGBoost (Threshold) | fraud_risk | 0.0108 | 0.8750 | 0.0214 |
| 8 | XGBoost (Threshold) | performing | 0.9678 | 0.2389 | 0.3832 |
| 9 | Random Forest | credit_risk | 0.0766 | 0.4125 | 0.1293 |
| 10 | Random Forest | fraud_risk | 0.0145 | 0.7750 | 0.0285 |
| 11 | Random Forest | performing | 0.9706 | 0.2087 | 0.3436 |
| 12 | Random Forest (Threshold) | credit_risk | 0.0639 | 0.2250 | 0.0995 |
| 13 | Random Forest (Threshold) | fraud_risk | 0.0099 | 0.8500 | 0.0195 |
| 14 | Random Forest (Threshold) | performing | 0.9717 | 0.0980 | 0.1781 |
| 15 | Logistic Regression | credit_risk | 0.1244 | 0.3950 | 0.1892 |
| 16 | Logistic Regression | fraud_risk | 0.0254 | 0.6250 | 0.0488 |
| 17 | Logistic Regression | performing | 0.9560 | 0.6025 | 0.7392 |
| 18 | Modelo binario Xgboost | no_risk | 0.9593 | 0.3793 | 0.5437 |
| 19 | Modelo binario Xgboost | risk | 0.1060 | 0.8205 | 0.1877 |
| 20 | Modelo binario red neuronal | no_risk | 0.9649 | 0.3922 | 0.5577 |
| 21 | Modelo binario red neuronal | risk | 0.1104 | 0.8409 | 0.1951 |
import pandas as pd
from sklearn.metrics import classification_report, accuracy_score
# Diccionario con los nombres de los modelos y sus predicciones
model_predictions = {
'Normal MLP':predicted_labels,
'Deep MLP': predicted_labels_deep,
'XGBoost': y_pred_xg3,
'XGBoost (Threshold)': y_pred_adjusted,
'Random Forest': y_pred_rf2,
'Random Forest (Threshold)': y_pred_adjusted_rf,
'Balanced Random Forest': y_pred_brf,
'Logistic Regression': y_pred_lr1,
'Modelo stacking': y_pred_stack,
'Modelo binario Xgboost': y_pred_thresh,
'Modelo binario red neuronal': y_pred_bin,
'Modelo cascada': final_preds
}
# Etiquetas reales
true_labels_dict = {
'Normal MLP': y_test_encoded,
'Deep MLP': y_test_encoded,
'XGBoost': y_test_encoded,
'XGBoost (Threshold)': y_test_encoded,
'Random Forest': y_test_encoded,
'Random Forest (Threshold)': y_test_encoded,
'Balanced Random Forest': y_test_encoded,
'Logistic Regression': y_test_encoded,
'Modelo stacking': y_test_encoded,
'Modelo binario Xgboost': y_test_bin,
'Modelo binario red neuronal': y_test_bin,
'Modelo cascada': y_test_encoded
}
# Nombres de las clases
labels_multiclass = ['credit_risk', 'fraud_risk', 'performing']
labels_binary = ['no_risk', 'risk']
# Lista para guardar resultados
all_results = []
for model_name, y_pred in model_predictions.items():
y_true = true_labels_dict[model_name]
acc = accuracy_score(y_true, y_pred)
if model_name.startswith("Modelo binario"):
report = classification_report(y_true, y_pred, output_dict=True, target_names=labels_binary)
for class_name in labels_binary:
all_results.append({
'Model': model_name,
'Class': class_name,
'Precision': report[class_name]['precision'],
'Recall': report[class_name]['recall'],
'F1-Score': report[class_name]['f1-score'],
'Accuracy': acc
})
else:
report = classification_report(y_true, y_pred, output_dict=True, target_names=labels_multiclass)
for class_name in labels_multiclass:
all_results.append({
'Model': model_name,
'Class': class_name,
'Precision': report[class_name]['precision'],
'Recall': report[class_name]['recall'],
'F1-Score': report[class_name]['f1-score'],
'Accuracy': acc
})
# Crear DataFrame
df_summary = pd.DataFrame(all_results)
# Función para resaltar los mejores valores por columna
def highlight_max_in_column(column):
is_max = column == column.max()
return ['background-color: lightcoral' if val else '' for val in is_max]
# Mostrar tabla con formato
df_summary.style.format({
'Precision': "{:.4f}",
'Recall': "{:.4f}",
'F1-Score': "{:.4f}",
'Accuracy': "{:.4f}"
}).apply(highlight_max_in_column, subset=['Precision']) \
.apply(highlight_max_in_column, subset=['Recall']) \
.apply(highlight_max_in_column, subset=['F1-Score']) \
.apply(highlight_max_in_column, subset=['Accuracy'])
| Model | Class | Precision | Recall | F1-Score | Accuracy | |
|---|---|---|---|---|---|---|
| 0 | Normal MLP | credit_risk | 0.1025 | 0.3925 | 0.1625 | 0.5385 |
| 1 | Normal MLP | fraud_risk | 0.0235 | 0.5750 | 0.0452 | 0.5385 |
| 2 | Normal MLP | performing | 0.9514 | 0.5501 | 0.6971 | 0.5385 |
| 3 | Deep MLP | credit_risk | 0.1210 | 0.4500 | 0.1907 | 0.6650 |
| 4 | Deep MLP | fraud_risk | 0.0393 | 0.3000 | 0.0696 | 0.6650 |
| 5 | Deep MLP | performing | 0.9465 | 0.6855 | 0.7951 | 0.6650 |
| 6 | XGBoost | credit_risk | 0.0973 | 0.5125 | 0.1635 | 0.5713 |
| 7 | XGBoost | fraud_risk | 0.0327 | 0.1750 | 0.0551 | 0.5713 |
| 8 | XGBoost | performing | 0.9395 | 0.5793 | 0.7167 | 0.5713 |
| 9 | XGBoost (Threshold) | credit_risk | 0.0892 | 0.4800 | 0.1505 | 0.4317 |
| 10 | XGBoost (Threshold) | fraud_risk | 0.0181 | 0.4500 | 0.0349 | 0.4317 |
| 11 | XGBoost (Threshold) | performing | 0.9528 | 0.4276 | 0.5903 | 0.4317 |
| 12 | Random Forest | credit_risk | 0.0812 | 0.4125 | 0.1356 | 0.2630 |
| 13 | Random Forest | fraud_risk | 0.0155 | 0.8000 | 0.0304 | 0.2630 |
| 14 | Random Forest | performing | 0.9680 | 0.2464 | 0.3929 | 0.2630 |
| 15 | Random Forest (Threshold) | credit_risk | 0.0638 | 0.2350 | 0.1004 | 0.1334 |
| 16 | Random Forest (Threshold) | fraud_risk | 0.0104 | 0.8500 | 0.0206 | 0.1334 |
| 17 | Random Forest (Threshold) | performing | 0.9685 | 0.1192 | 0.2123 | 0.1334 |
| 18 | Balanced Random Forest | credit_risk | 0.1101 | 0.2700 | 0.1564 | 0.6188 |
| 19 | Balanced Random Forest | fraud_risk | 0.0215 | 0.5500 | 0.0415 | 0.6188 |
| 20 | Balanced Random Forest | performing | 0.9504 | 0.6478 | 0.7704 | 0.6188 |
| 21 | Logistic Regression | credit_risk | 0.1209 | 0.3800 | 0.1835 | 0.5814 |
| 22 | Logistic Regression | fraud_risk | 0.0217 | 0.5500 | 0.0417 | 0.5814 |
| 23 | Logistic Regression | performing | 0.9545 | 0.5980 | 0.7353 | 0.5814 |
| 24 | Modelo stacking | credit_risk | 0.1133 | 0.3000 | 0.1645 | 0.6128 |
| 25 | Modelo stacking | fraud_risk | 0.0230 | 0.5750 | 0.0442 | 0.6128 |
| 26 | Modelo stacking | performing | 0.9531 | 0.6386 | 0.7648 | 0.6128 |
| 27 | Modelo binario Xgboost | no_risk | 0.9620 | 0.3873 | 0.5522 | 0.4237 |
| 28 | Modelo binario Xgboost | risk | 0.1083 | 0.8295 | 0.1916 | 0.4237 |
| 29 | Modelo binario red neuronal | no_risk | 0.9599 | 0.3753 | 0.5396 | 0.4123 |
| 30 | Modelo binario red neuronal | risk | 0.1059 | 0.8250 | 0.1877 | 0.4123 |
| 31 | Modelo cascada | credit_risk | 0.0757 | 0.2975 | 0.1207 | 0.3719 |
| 32 | Modelo cascada | fraud_risk | 0.0151 | 0.7000 | 0.0295 | 0.3719 |
| 33 | Modelo cascada | performing | 0.9599 | 0.3753 | 0.5396 | 0.3719 |
import pandas as pd
from sklearn.metrics import classification_report, accuracy_score
# Diccionario con los nombres de los modelos y sus predicciones
model_predictions = {
'Normal MLP': predicted_labels,
'Deep MLP': predicted_labels_deep,
'XGBoost': y_pred_xg3,
'XGBoost (Threshold)': y_pred_adjusted,
'Random Forest': y_pred_rf2,
'Random Forest (Threshold)': y_pred_adjusted_rf,
'Balanced Random Forest': y_pred_brf,
'Logistic Regression': y_pred_lr1,
'Modelo stacking': y_pred_stack,
'Modelo binario Xgboost': y_pred_thresh,
'Modelo binario red neuronal': y_pred_bin,
'Modelo cascada': final_preds
}
# Etiquetas reales
true_labels_dict = {
'Normal MLP': y_test_encoded,
'Deep MLP': y_test_encoded,
'XGBoost': y_test_encoded,
'XGBoost (Threshold)': y_test_encoded,
'Random Forest': y_test_encoded,
'Random Forest (Threshold)': y_test_encoded,
'Balanced Random Forest': y_test_encoded,
'Logistic Regression': y_test_encoded,
'Modelo stacking': y_test_encoded,
'Modelo binario Xgboost': y_test_bin,
'Modelo binario red neuronal': y_test_bin,
'Modelo cascada': y_test_encoded
}
# Nombres de las clases
labels_multiclass = ['credit_risk', 'fraud_risk', 'performing']
labels_binary = ['no_risk', 'risk']
# Lista para guardar resultados
all_results = []
for model_name, y_pred in model_predictions.items():
y_true = true_labels_dict[model_name]
acc = accuracy_score(y_true, y_pred)
if model_name.startswith("Modelo binario"):
report = classification_report(y_true, y_pred, output_dict=True, target_names=labels_binary)
for class_name in labels_binary:
all_results.append({
'Model': model_name,
'Class': class_name,
'Precision': report[class_name]['precision'],
'Recall': report[class_name]['recall'],
'F1-Score': report[class_name]['f1-score'],
'Accuracy': acc
})
else:
report = classification_report(y_true, y_pred, output_dict=True, target_names=labels_multiclass)
for class_name in labels_multiclass:
all_results.append({
'Model': model_name,
'Class': class_name,
'Precision': report[class_name]['precision'],
'Recall': report[class_name]['recall'],
'F1-Score': report[class_name]['f1-score'],
'Accuracy': acc
})
# Crear DataFrame
df_summary = pd.DataFrame(all_results)
# Identificar el índice de la fila con mayor Recall en 'fraud_risk'
fraud_risk_rows = df_summary[df_summary['Class'] == 'fraud_risk']
idx_max_recall_fraud = fraud_risk_rows['Recall'].idxmax()
# Función para resaltar los máximos por columna
def highlight_max_in_column(column):
is_max = column == column.max()
return ['background-color: lightcoral' if val else '' for val in is_max]
# Función para resaltar toda la fila del mejor Recall en fraud_risk
def highlight_row_if_best_fraud(row):
return ['background-color: blue' if row.name == idx_max_recall_fraud else '' for _ in row]
# Mostrar tabla con todo el formato
df_summary.style.format({
'Precision': "{:.4f}",
'Recall': "{:.4f}",
'F1-Score': "{:.4f}",
'Accuracy': "{:.4f}"
}).apply(highlight_max_in_column, subset=['Precision']) \
.apply(highlight_max_in_column, subset=['Recall']) \
.apply(highlight_max_in_column, subset=['F1-Score']) \
.apply(highlight_max_in_column, subset=['Accuracy']) \
.apply(highlight_row_if_best_fraud, axis=1)
| Model | Class | Precision | Recall | F1-Score | Accuracy | |
|---|---|---|---|---|---|---|
| 0 | Normal MLP | credit_risk | 0.1025 | 0.3925 | 0.1625 | 0.5385 |
| 1 | Normal MLP | fraud_risk | 0.0235 | 0.5750 | 0.0452 | 0.5385 |
| 2 | Normal MLP | performing | 0.9514 | 0.5501 | 0.6971 | 0.5385 |
| 3 | Deep MLP | credit_risk | 0.1210 | 0.4500 | 0.1907 | 0.6650 |
| 4 | Deep MLP | fraud_risk | 0.0393 | 0.3000 | 0.0696 | 0.6650 |
| 5 | Deep MLP | performing | 0.9465 | 0.6855 | 0.7951 | 0.6650 |
| 6 | XGBoost | credit_risk | 0.0973 | 0.5125 | 0.1635 | 0.5713 |
| 7 | XGBoost | fraud_risk | 0.0327 | 0.1750 | 0.0551 | 0.5713 |
| 8 | XGBoost | performing | 0.9395 | 0.5793 | 0.7167 | 0.5713 |
| 9 | XGBoost (Threshold) | credit_risk | 0.0892 | 0.4800 | 0.1505 | 0.4317 |
| 10 | XGBoost (Threshold) | fraud_risk | 0.0181 | 0.4500 | 0.0349 | 0.4317 |
| 11 | XGBoost (Threshold) | performing | 0.9528 | 0.4276 | 0.5903 | 0.4317 |
| 12 | Random Forest | credit_risk | 0.0812 | 0.4125 | 0.1356 | 0.2630 |
| 13 | Random Forest | fraud_risk | 0.0155 | 0.8000 | 0.0304 | 0.2630 |
| 14 | Random Forest | performing | 0.9680 | 0.2464 | 0.3929 | 0.2630 |
| 15 | Random Forest (Threshold) | credit_risk | 0.0638 | 0.2350 | 0.1004 | 0.1334 |
| 16 | Random Forest (Threshold) | fraud_risk | 0.0104 | 0.8500 | 0.0206 | 0.1334 |
| 17 | Random Forest (Threshold) | performing | 0.9685 | 0.1192 | 0.2123 | 0.1334 |
| 18 | Balanced Random Forest | credit_risk | 0.1101 | 0.2700 | 0.1564 | 0.6188 |
| 19 | Balanced Random Forest | fraud_risk | 0.0215 | 0.5500 | 0.0415 | 0.6188 |
| 20 | Balanced Random Forest | performing | 0.9504 | 0.6478 | 0.7704 | 0.6188 |
| 21 | Logistic Regression | credit_risk | 0.1209 | 0.3800 | 0.1835 | 0.5814 |
| 22 | Logistic Regression | fraud_risk | 0.0217 | 0.5500 | 0.0417 | 0.5814 |
| 23 | Logistic Regression | performing | 0.9545 | 0.5980 | 0.7353 | 0.5814 |
| 24 | Modelo stacking | credit_risk | 0.1133 | 0.3000 | 0.1645 | 0.6128 |
| 25 | Modelo stacking | fraud_risk | 0.0230 | 0.5750 | 0.0442 | 0.6128 |
| 26 | Modelo stacking | performing | 0.9531 | 0.6386 | 0.7648 | 0.6128 |
| 27 | Modelo binario Xgboost | no_risk | 0.9620 | 0.3873 | 0.5522 | 0.4237 |
| 28 | Modelo binario Xgboost | risk | 0.1083 | 0.8295 | 0.1916 | 0.4237 |
| 29 | Modelo binario red neuronal | no_risk | 0.9599 | 0.3753 | 0.5396 | 0.4123 |
| 30 | Modelo binario red neuronal | risk | 0.1059 | 0.8250 | 0.1877 | 0.4123 |
| 31 | Modelo cascada | credit_risk | 0.0757 | 0.2975 | 0.1207 | 0.3719 |
| 32 | Modelo cascada | fraud_risk | 0.0151 | 0.7000 | 0.0295 | 0.3719 |
| 33 | Modelo cascada | performing | 0.9599 | 0.3753 | 0.5396 | 0.3719 |